[R] Remove all factor levels from an R dataframe
Hi, I would like to sort the following simple dataframe by "year" (characters), but the factor structure prevents me from doing so. How can I remove the factor structure? Thanks! > df1 year country 4 2007 Asia; survey 5 2010 8 countries in E/SE Asia 6 2015Ghana 7 8 2000 US? > str(df1) 'data.frame': 5 obs. of 2 variables: $ year : Factor w/ 9 levels "2017","2016",..: 4 5 3 6 7 $ country: Factor w/ 9 levels "Euro Area\\newline Testing the MP performance of the Euro Area",..: 4 5 6 7 8 > df1[order(-year), ] Error in order(-year) : object 'year' not found [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] paste() turns list element character vector into deparsed expression. Why?
I agree that it is weird, but I don't see that it is easy to coerce a
list to character of the same structure. In my example (missing the
trailing parenthesis, sorry...) the input is a length two list and the
output is a length two character vector, so in the general case the
rationale seems to be that the output should have the same length as
the input, which makes sense. What specific length two character vector
would you suggest for this example? Would you paste the elements
together with an arbitrary separator of your choice?
In the more general case these elements could be anything: numbers,
characters, functions or even new lists, and I agree that it most often
probably just would make most sense to return an error. Actually I
think it is a bad idea to call `as.character()` on a list in the first
place. Logically this doesn't make much sense. If you want to use
`as.charater()` on each element in the list you should use `lapply()`.
If you really insist on representing a complicated structure as a list
as character I don't see any better general way to represent the list
as character than what R currently does.
Kind regards,
Ege
On Mon, 2020-11-09 at 12:58 +, Boris Steipe wrote:
> Thanks Ege -
>
> That narrows it down, ... but it's still weird.
>
> My issue is that I don't consider "c(\"xyz\", \"uvw\")" to be a valid
> character representation of a list. c() is a function, so "c(\"xyz\",
> \"uvw\")" is a string representation of a function call that could
> be eval(parse(...))'ed into a two-element vector ... but considering
> this a coercion seems really weird.
>
> What do I think your example should return? An object of the same
> general structure as the input, with non-character components coerced
> to character. And if that's not possible because there is no good
> character representation (e.g. if its a closure) than it should
> return an error.
>
>
> Cheers,
> Boris
>
>
>
>
> > On 2020-11-09, at 22:24, Ege Rubak wrote:
> >
> > EXTERNAL EMAIL: Treat content with extra caution.
> >
> > I think `paste()` just calls `as.character()` on each input
> > argument
> > and then collapses things afterwards. Calling `as.character()` on
> > the
> > first input argument generates exactly the output you show (and
> > didn't
> > expect) and there is nothing to collapse. So changing `collapse =
> > ""`
> > to anything else doesn't change behaviour.
> >
> > The question is reduced to how `as.character()` should handle a
> > list as
> > input. It seems to me that this input is so generic that it is hard
> > to
> > handle graciously without all kinds of special cases. So you expect
> > the
> > length one list
> >
> > as.character(list(s = c("xyz", "uvw"))
> >
> > to return the length 2 character vector `c("xyz", "uvw")`? What
> > should
> >
> > as.character(list(s = c("xyz", "uvw"), t = c("a", "b", "c"))
> >
> > return?
> >
> > Kind regards,
> > Ege
> >
> > On Mon, 2020-11-09 at 11:38 +, Boris Steipe wrote:
> > > I was just surprised by very un-intuitive behaviour of paste(),
> > > which
> > > appears to collapse a one-column data frame or one-element list
> > > into
> > > a deparsed expression, rather than producing the expected string.
> > > Can
> > > someone kindly explain what's going on here?
> > >
> > >
> > > reprex:
> > > ===
> > >
> > > list(s = c("xyz", "uvw"))
> > > # s
> > > # 1 xyz
> > > # 2 uvw
> > >
> > > paste(list(s = c("xyz", "uvw")), collapse = "")
> > > # [1] "c(\"xyz\", \"uvw\")" # This is unexpected!
> > >
> > > I would have expected:
> > > # [1] "xyzuvw"
> > >
> > > ... which I do get with e.g.
> > > paste(list(s = c("xyz", "uvw"))$s, collapse = "")
> > >
> > > But what logic is there in returning a deparsed expression?
> > >
> > >
> > >
> > > Thanks!
> > > Boris
> > > __
> > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > PLEASE do read the posting guide
> > > http://www.R-project.org/posting-guide.html
> > > and provide commented, minimal, self-contained, reproducible
> > > code.
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] analyzing results from Tuesday's US elections
For those who are interested: Very nice examples of (static) statistical graphics on election results can be found here: https://www.nytimes.com/interactive/2020/11/09/us/arizona-election-battleground-state-counties.html?action=click=Spotlight=Homepage Takes multidisciplinary teams and lots of hard work to produce, I would guess. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Nov 9, 2020 at 4:46 PM Abby Spurdle wrote: > RESENT > INITIAL EMAIL, TOO BIG > ATTACHMENTS REPLACED WITH LINKS > > I created a dataset, linked. > Had to manually copy and paste from the NY Times website. > > > head (data, 3) > STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 > SUB_STATEVAL_2016 > 1 Alabama Mobile 13.3 12 181783 > 0 > 2 Alabama Dallas-37.5 -3817861 > 0 > 3 Alabama Tuscaloosa 19.3 1589760 > 0 > > > tail (data, 3) >STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 > SUB_STATEVAL_2016 > 4248 WyomingUinta 58.5 63 9400 >0 > 4249 Wyoming Sublette 63.0 62 4970 >0 > 4250 Wyoming Johnson 64.3 61 4914 >0 > > > head (data [data [,1] == "Alaska",], 3) > STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 SUB_STATEVAL_2016 > 68 AlaskaED 40 14.7-24.0 82 1 > 69 AlaskaED 37 14.7 -1.7 173 1 > 70 AlaskaED 38 14.7 -0.4 249 1 > > EQCounty, is the County or Equivalent. > Several states, D.C., Alaska, Connecticut, Maine, Massachusetts, Rhode > Island and Vermont are different. > RMargin(s) are the republican percentages minus the democrate > percentages, as 2 or 3 digit numbers between 0 and 100. > The last column is 0s or 1s, with 1s for Alaska, Connecticut, Maine, > Massachusetts, Rhode Island and Vermont, where I didn't have the 2016 > margins, so the 2016 margins have been replaced with state-levels > values. > > Then I scaled the margins, based on the number of voters. > i.e. > wx2016 <- 1000 * x2016 * nv / max.nv > (Where x2016 is equal to RMARGIN_2020, and nv is equal to NVOTERS_2020). > > There may be a much better way. > > And came up the following plots (linked) and output (follows): > > ---INPUT--- > PATH = "" > data = read.csv (PATH, header=TRUE) > > #raw data > x2016 <- as.numeric (data$RMARGIN_2016) > x2020 <- as.numeric (data$RMARGIN_2020) > nv <- as.numeric (data$NVOTERS_2020) > subs <- as.logical (data$SUB_STATEVAL) > > #computed data > max.nv <- max (nv) > wx2016 <- 1000 * x2016 * nv / max.nv > wx2020 <- 1000 * x2020 * nv / max.nv > diffs <- wx2020 - wx2016 > > OFFSET <- 500 > p0 <- par (mfrow = c (2, 2) ) > > #plot 1 > plot (wx2016, wx2020, > main="All Votes\n(By County, or Equivalent)", > xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, > 2020") > abline (h=0, v=0, lty=2) > > #plot 2 > OFFSET <- 200 > plot (wx2016, wx2020, > xlim = c (-OFFSET, OFFSET), ylim = c (-OFFSET, OFFSET), > main="All Votes\n(Zoomed In)", > xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, > 2020") > abline (h=0, v=0, lty=2) > > OFFSET <- 1000 > > #plot 3 > J1 <- order (diffs, decreasing=TRUE)[1:400] > plot (wx2016 [J1], wx2020 [J1], > xlim = c (-OFFSET, OFFSET), ylim = c (-OFFSET, OFFSET), > main="400 Biggest Shifts Towards Republican", > xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, > 2020") > abline (h=0, v=0, lty=2) > abline (a=0, b=1, lty=2) > > #plot 4 > J2 <- order (diffs)[1:400] > plot (wx2016 [J2], wx2020 [J2], > xlim = c (-OFFSET, OFFSET), ylim = c (-OFFSET, OFFSET), > main="400 Biggest Shifts Towards Democrat", > xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, > 2020") > abline (h=0, v=0, lty=2) > abline (a=0, b=1, lty=2) > > par (p0) > > #most democrat > I = order (wx2020)[1:30] > cbind (data [I,], scaled.dem.vote = -1 * wx2020 [I]) > > #biggest move toward democrat > head (cbind (data [J2,], diffs = diffs [J2]), 30) > > ---OUTPUT--- > #most democrat > > cbind (data [I,], scaled.dem.vote = -1 * wx2020 [I]) > STATEEQCOUNTY RMARGIN_2016 RMARGIN_2020 > NVOTERS_2020 SUB_STATEVAL_2016 scaled.dem.vote > 229 California Los Angeles-49.3 -44 > 3674850 0 44000.000 > 769IllinoisCook-53.1 -47 > 1897721 0 24271.164 > 4073 WashingtonKing-48.8 -53 > 1188152 0 17135.953 > 3092 PennsylvaniaPhiladelphia-67.0 -63 > 701647 0 12028.725 > 215 California Alameda-63.5 -64 > 625710 0 10897.163 > 227
Re: [R] analyzing results from Tuesday's US elections
RESENT INITIAL EMAIL, TOO BIG ATTACHMENTS REPLACED WITH LINKS I created a dataset, linked. Had to manually copy and paste from the NY Times website. > head (data, 3) STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 SUB_STATEVAL_2016 1 Alabama Mobile 13.3 12 181783 0 2 Alabama Dallas-37.5 -3817861 0 3 Alabama Tuscaloosa 19.3 1589760 0 > tail (data, 3) STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 SUB_STATEVAL_2016 4248 WyomingUinta 58.5 63 9400 0 4249 Wyoming Sublette 63.0 62 4970 0 4250 Wyoming Johnson 64.3 61 4914 0 > head (data [data [,1] == "Alaska",], 3) STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 SUB_STATEVAL_2016 68 AlaskaED 40 14.7-24.0 82 1 69 AlaskaED 37 14.7 -1.7 173 1 70 AlaskaED 38 14.7 -0.4 249 1 EQCounty, is the County or Equivalent. Several states, D.C., Alaska, Connecticut, Maine, Massachusetts, Rhode Island and Vermont are different. RMargin(s) are the republican percentages minus the democrate percentages, as 2 or 3 digit numbers between 0 and 100. The last column is 0s or 1s, with 1s for Alaska, Connecticut, Maine, Massachusetts, Rhode Island and Vermont, where I didn't have the 2016 margins, so the 2016 margins have been replaced with state-levels values. Then I scaled the margins, based on the number of voters. i.e. wx2016 <- 1000 * x2016 * nv / max.nv (Where x2016 is equal to RMARGIN_2020, and nv is equal to NVOTERS_2020). There may be a much better way. And came up the following plots (linked) and output (follows): ---INPUT--- PATH = "" data = read.csv (PATH, header=TRUE) #raw data x2016 <- as.numeric (data$RMARGIN_2016) x2020 <- as.numeric (data$RMARGIN_2020) nv <- as.numeric (data$NVOTERS_2020) subs <- as.logical (data$SUB_STATEVAL) #computed data max.nv <- max (nv) wx2016 <- 1000 * x2016 * nv / max.nv wx2020 <- 1000 * x2020 * nv / max.nv diffs <- wx2020 - wx2016 OFFSET <- 500 p0 <- par (mfrow = c (2, 2) ) #plot 1 plot (wx2016, wx2020, main="All Votes\n(By County, or Equivalent)", xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, 2020") abline (h=0, v=0, lty=2) #plot 2 OFFSET <- 200 plot (wx2016, wx2020, xlim = c (-OFFSET, OFFSET), ylim = c (-OFFSET, OFFSET), main="All Votes\n(Zoomed In)", xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, 2020") abline (h=0, v=0, lty=2) OFFSET <- 1000 #plot 3 J1 <- order (diffs, decreasing=TRUE)[1:400] plot (wx2016 [J1], wx2020 [J1], xlim = c (-OFFSET, OFFSET), ylim = c (-OFFSET, OFFSET), main="400 Biggest Shifts Towards Republican", xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, 2020") abline (h=0, v=0, lty=2) abline (a=0, b=1, lty=2) #plot 4 J2 <- order (diffs)[1:400] plot (wx2016 [J2], wx2020 [J2], xlim = c (-OFFSET, OFFSET), ylim = c (-OFFSET, OFFSET), main="400 Biggest Shifts Towards Democrat", xlab="Scaled Republican Margin, 2016", ylab="Scaled Republican Margin, 2020") abline (h=0, v=0, lty=2) abline (a=0, b=1, lty=2) par (p0) #most democrat I = order (wx2020)[1:30] cbind (data [I,], scaled.dem.vote = -1 * wx2020 [I]) #biggest move toward democrat head (cbind (data [J2,], diffs = diffs [J2]), 30) ---OUTPUT--- #most democrat > cbind (data [I,], scaled.dem.vote = -1 * wx2020 [I]) STATEEQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 SUB_STATEVAL_2016 scaled.dem.vote 229 California Los Angeles-49.3 -44 3674850 0 44000.000 769IllinoisCook-53.1 -47 1897721 0 24271.164 4073 WashingtonKing-48.8 -53 1188152 0 17135.953 3092 PennsylvaniaPhiladelphia-67.0 -63 701647 0 12028.725 215 California Alameda-63.5 -64 625710 0 10897.163 227 California Santa Clara-52.1 -49 726186 09682.875 238 California San Diego-19.7 -23 1546144 09676.942 2683 New YorkBrooklyn-62.0 -49 693937 09252.871 2162 MinnesotaHennepin-34.9 -43 753716 08819.350 2074 Michigan Wayne-37.1 -37 863382 08692.908 2673 New York Manhattan-76.9 -70 446861 08511.986 221 California San Francisco-75.2 -73 413642 08216.898 3495 Texas
Re: [R] [effects] Wrong xlevels in effects plot for mixed effects model when multiline = TRUE
Dear John,
thank you for prompt reply and your hints. The problem is that our
lmer model is much more complicated and has several interaction
terms:
Mass ~ Sex + I(YoE - 1996) + I(PAI/0.1 - 16) + I(gProt/10 - 6.2) +
I(Age/10 - 7.2) + I((Age/10 - 7.2)^2) + Diuretics +
Sex:I(PAI/0.1 - 16) + Sex:I(gProt/10 - 6.2) +
Sex:I(Age/10 - 7.2) + Sex:I((Age/10 - 7.2)^2) +
I(YoE - 1996):I(Age/10 - 7.2) + I(PAI/0.1 - 16):I(Age/10 - 7.2) +
I(gProt/10 - 6.2):I(Age/10 - 7.2) +
(I(Age/10 - 7.2) + I((Age/10 - 7.2)^2) | ID)
so that allEffects is quite efficient, and since I want to place
several interaction terms with Age in one figure with Age on the
horizontal axis the argument x.var = "Age" in plot would be very
helpful. :-)
Further hints using the above complex model: The following works well:
eff <- Effect(c("gProt", "Age"), m,
xlevels = list(gProt = 1:6 * 30, Age = 60:100))
plot(eff, lines=list(multiline=TRUE), x.var = "Age")
But this fails (note that Age is missing in xlevels):
eff <- Effect(c("gProt", "Age"), m, xlevels = list(gProt = 1:6 * 30))
plot(eff, lines=list(multiline=TRUE), x.var = "Age")
And that just led me to a solutution also for allEffects: Specifying
Age in xlevels for allEffects (although it seems unnecessary when
x.var = "Age" is used in plot) produces the correct graphical
output! :-)
Thank you very much for your support and the brilliant effects
package in general! :-)
Best regards -- Gerrit
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany
Fax: +49-(0)641-99-32109http://www.uni-giessen.de/eichner
-
Am 09.11.2020 um 19:51 schrieb John Fox:
Dear Gerrit,
This looks like a bug in plot.eff(), which I haven't yet tracked down,
but the following should give you what you want:
eff <- Effect(c("gProt", "Age"), m, xlevels = list(gProt = 1:6 * 30,
Age=60:100))
plot(eff, lines=list(multiline=TRUE))
or
eff <- predictorEffect("Age", m, xlevels = list(gProt = 1:6 * 30))
plot(eff, lines=list(multiline=TRUE))
A couple of comments on your code, unrelated to the bug in plot.eff():
You don't need allEffects() because there's only one high-order fixed
effect in the model, I(gProt/10 - 6.2):I(Age/10 - 7.2) (i.e., the
interaction of gProt with Age).
x.var isn't intended as an argument for plot() with allEffects() because
there generally isn't a common horizontal axis for all of the high-order
effect plots.
Finally, thank you for the bug report. Barring unforeseen difficulties,
we'll fix the bug in due course.
I hope this helps,
John
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
On 2020-11-09 8:06 a.m., Gerrit Eichner wrote:
Dear list members,
I observe a strange/wrong graphical output when I set the xlevels
in (e. g.) allEffects for an lmer model and plot the effects with
multiline = TRUE. I have compiled a reprex for which you need the
lmer model and the environment in which the model was fitted. They
are contained in the zip file at
https://jlubox.uni-giessen.de/dl/fiSzTCc3bW8z2npZvPpqG1xr/m-and-G1.zip
After unpacking the following should work:
m <- readRDS("m.rds") # The lmer-model.
G1 <- readRDS("G1.rds") # Environment in which the model
# was fitted; needed by alaEffects.
summary(m) # Just to see the model.
library(effects)
aE <- allEffects(m, xlevels = list(gProt = 1:6 * 30))
# Non-default values for xlevels.
plot(aE) # Fine.
plot(aE, x.var = "Age") # Fine.
plot(aE, lines = list(multiline = TRUE)) # Fine.
plot(aE, lines = list(multiline = TRUE),
x.var = "Age") # Nonsense.
Anybody any idea about the reason, my mistake, or a
workaround? Thx for any hint!
Regards -- Gerrit
PS:
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] effects_4.2-0 carData_3.0-4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-41 MASS_7.3-53 grid_4.0.2
DBI_1.1.0
[6] nlme_3.1-149 survey_4.0 estimability_1.3 minqa_1.2.4
nloptr_1.2.2.2
[11] Matrix_1.2-18 boot_1.3-25 splines_4.0.2 statmod_1.4.34
lme4_1.1-23
[16] tools_4.0.2 survival_3.2-3 yaml_2.2.1 compiler_4.0.2
colorspace_1.4-1
[21] mitools_2.4 insight_0.9.5
Re: [ESS] How to tame a jumpy iESS buffer?
Okay, time for another update on this issue. I found another possible culprit: the smooth-scrolling package. I had it enabled for ages, and it enforces a margin near the top and bottom of the buffer. Disabling the package seems to help with jumpiness. Cheers, John On Wed, Sep 16, 2020, at 2:55 AM, Jeremie Juste wrote: > > Hello John, > > I apologize for the delayed response. > > I still cannot reproduce your issue after > > (setq eldoc-echo-area-use-multiline-p t) > > I get the multi-line in eldoc but no jumps in the commit buffer. > To test on your side I would suggest. > > - $ emacs -Q > > - then load ess-site. If you installed it with melpa then > - (package-initialize) > - (require 'ess-site) > (setq eldoc-echo-area-use-multiline-p t) > > > HTH, > Jeremie > > - ess-version: 18.10.3snapshot [elpa: 20200825.829] (loaded from > /home/djj/.emacs.d/elpa/ess-20200825.829/) > - GNU Emacs 28.0.50 (build 1, x86_64-pc-linux-gnu, GTK+ Version 3.24.5, > cairo version 1.16.0) of 2020-09-01 > > > > > John Haman writes: > > > Thanks. I bisected my .emacs and found that that jumpiness is being > > caused by my preferred eldoc setup. I use > > > > (setq eldoc-echo-area-use-multiline-p t) > > > > which let's eldoc use more than one mini-buffer line. When the > > minibuffer expands to 2+ lines, the comint buffer jumps. > > > > Maybe you can try enabling this and see if it causes comint jumpiness. > > > > FWIW I'm using Emacs 26.3, and the latest ESS on Melpa. > > > > Thanks. > > > > -John > > > > On 9/12/20 4:13 PM, Jeremie Juste wrote: > >> Hello John, > >> > >> Unfortunately, I cannot reproduce your error. We can try to figure out > >> how is Ess working with emacs -Q though. > >> > >> - $ emacs -Q > >> > >> - then load ess-site. If you installed it with melpa then > >> - (package-initialize) > >> - (ess-site) > >> > >> - Do you have the same issue when using IESS? > >> > >> Could you please specify the version of emacs and ess you are using? In > >> case someone else comes across this problem. > >> > >> HTH, > >> > >> Jeremie > >> > >> > >> > >> > __ ESS-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/ess-help
Re: [ESS] how to change default emacs behavior, upon running R code, from 2 side-by-by side frames to top-and-bottom frames?
Hello, > When I execute a line of R code, the R buffer opens up as expected, but > it opens in a frame adjacent to the frame containing my source buffer. I > would like it to open the R buffer as a frame below my source code, > rather than adjacent to it. This section of the documentation might address your issue. You can execute the command below for quick access. (info "(ess) Controlling buffer display") HTH, Jeremie __ ESS-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/ess-help
[ESS] how to change default emacs behavior, upon running R code, from 2 side-by-by side frames to top-and-bottom frames?
I'm running, on Windows 10, Vince Goulet's version of emacs/ess, which includes GNU Emacs 26.3 (build 1, x86_64-w64-mingw32)  of 2019-08-29 When I execute a line of R code, the R buffer opens up as expected, but it opens in a frame adjacent to the frame containing my source buffer. I would like it to open the R buffer as a frame below my source code, rather than adjacent to it. How can I change the behavior from side-side frames to top-bottom frames? Thanks. --Chris Ryan __ ESS-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/ess-help
Re: [R] [effects] Wrong xlevels in effects plot for mixed effects model when multiline = TRUE
Dear Gerrit,
This looks like a bug in plot.eff(), which I haven't yet tracked down,
but the following should give you what you want:
eff <- Effect(c("gProt", "Age"), m, xlevels = list(gProt = 1:6 * 30,
Age=60:100))
plot(eff, lines=list(multiline=TRUE))
or
eff <- predictorEffect("Age", m, xlevels = list(gProt = 1:6 * 30))
plot(eff, lines=list(multiline=TRUE))
A couple of comments on your code, unrelated to the bug in plot.eff():
You don't need allEffects() because there's only one high-order fixed
effect in the model, I(gProt/10 - 6.2):I(Age/10 - 7.2) (i.e., the
interaction of gProt with Age).
x.var isn't intended as an argument for plot() with allEffects() because
there generally isn't a common horizontal axis for all of the high-order
effect plots.
Finally, thank you for the bug report. Barring unforeseen difficulties,
we'll fix the bug in due course.
I hope this helps,
John
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
On 2020-11-09 8:06 a.m., Gerrit Eichner wrote:
Dear list members,
I observe a strange/wrong graphical output when I set the xlevels
in (e. g.) allEffects for an lmer model and plot the effects with
multiline = TRUE. I have compiled a reprex for which you need the
lmer model and the environment in which the model was fitted. They
are contained in the zip file at
https://jlubox.uni-giessen.de/dl/fiSzTCc3bW8z2npZvPpqG1xr/m-and-G1.zip
After unpacking the following should work:
m <- readRDS("m.rds") # The lmer-model.
G1 <- readRDS("G1.rds") # Environment in which the model
# was fitted; needed by alaEffects.
summary(m) # Just to see the model.
library(effects)
aE <- allEffects(m, xlevels = list(gProt = 1:6 * 30))
# Non-default values for xlevels.
plot(aE) # Fine.
plot(aE, x.var = "Age") # Fine.
plot(aE, lines = list(multiline = TRUE)) # Fine.
plot(aE, lines = list(multiline = TRUE),
x.var = "Age") # Nonsense.
Anybody any idea about the reason, my mistake, or a
workaround? Thx for any hint!
Regards -- Gerrit
PS:
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] effects_4.2-0 carData_3.0-4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-41 MASS_7.3-53 grid_4.0.2
DBI_1.1.0
[6] nlme_3.1-149 survey_4.0 estimability_1.3 minqa_1.2.4
nloptr_1.2.2.2
[11] Matrix_1.2-18 boot_1.3-25 splines_4.0.2 statmod_1.4.34
lme4_1.1-23
[16] tools_4.0.2 survival_3.2-3 yaml_2.2.1 compiler_4.0.2
colorspace_1.4-1
[21] mitools_2.4 insight_0.9.5 nnet_7.3-14
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany
http://www.uni-giessen.de/eichner
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] analyzing results from Tuesday's US elections
Publish the results/graphs please, like to see what your are doing. -Original Message- From: Matthew McCormack [mailto:mccorm...@molbio.mgh.harvard.edu] Sent: Monday, November 09, 2020 6:14 PM To: r-help@r-project.org Subject: Re: [R] analyzing results from Tuesday's US elections Benford Analysis for Data Validation and Forensic Analytics Provides tools that make it easier to validate data using Benford's Law. https://www.rdocumentation.org/packages/benford.analysis/versions/0.1.5 Matthew On 11/9/20 9:23 AM, Alexandra Thorn wrote: > External Email - Use Caution > > This thread strikes me as pretty far off-topic for a forum dedicated > to software support on R. > > https://secure-web.cisco.com/15MzwKoUQfDzeGBDx9gweXKgiYtAPv1UlnW2dg9Cu > DtSNWgxy3ffTf_uuPizbjoJnovoOD6lrPDluOgGvIUTEF1d_rOTfaF3nUKLvNiZa3fHZ_I > HD-SjKotr4lurHjmNPlSrljLipPsrDk2aoo63-GLwvaw64By_MnLST7lt4FgA2pYXgE3x1 > 5Xn-kRZ85m29f0BxhHJMVfilvVUoUEBPrw/https%3A%2F%2Fwww.r-project.org%2Fm > ail.html%23instructions "The main R mailing list, for discussion > about problems and solutions using R, announcements (not covered by > R-announce or R-packages, see above), about the availability of > new functionality for R and documentation of R, comparison and > compatibility with S-plus, and for the posting of nice examples and > benchmarks. Do read the posting guide before sending anything!" > > https://secure-web.cisco.com/1V05G8mWSPHU-YvLbL-UQMy49XX7n7-EivE-gTOlh > 2nZ3P0oxp6DGUUZQ_Q5VIkE3J0qmhrrSXxJaqZjv-Tllghba8lQrbkazuAHTcltsfo3I-C > -SMqhb-CDdFbeEgIsr7py_gKW9BqumTZacywhHVnzhGGR2s1A-2akqQLYSYpYeX5EcVJAY > vX1KPCs9kJbOEveOr5yYjetokaZpLTzdMA/https%3A%2F%2Fwww.r-project.org%2Fp > osting-guide.html "The R mailing lists are primarily intended for > questions and discussion about the R software. However, questions > about statistical methodology are sometimes posted. If the question is > well-asked and of interest to someone on the list, it may elicit an > informative up-to-date answer. See also the Usenet groups > sci.stat.consult (applied statistics and consulting) and sci.stat.math > (mathematical stat and probability)." > > On Mon, 9 Nov 2020 00:53:46 -0500 > Matthew McCormack wrote: > >> You can try here: >> https://secure-web.cisco.com/17WRivozTB0Frts23cTlTBd3SYWzVXQsLa_jDRN8 >> SldAl35F0SYXRMZczzIXrQFTzbfRV4YfPOVhMSwopcdTU9Sva396s3bX3-KM7-51KjSnY >> 0aXxlADYaHdvs4y4YXrUfk1GT2801rVL26MCEEn2E1azdQ8ECllu1roS_Z8MIj8d6kyCt >> UYVdOYN1i9DuWBSXPlEi-iOtrQsBp6ELRXNFw/https%3A%2F%2Fdecisiondeskhq.co >> m%2F >> >> I think they have what you are looking for. From their website: >> >> "Create a FREE account to access up to the minute election results >> and insights on all U.S. Federal elections. Decision Desk HQ & >> Øptimus provide live election night coverage, race-specific results >> including county-level returns, and exclusive race probabilities for >> key battleground races." >> >> Also, this article provides a little, emphasis on little, of >> statistical analysis of election results, but it may be a place to >> start. >> >> https://secure-web.cisco.com/1JA34S9tw27K78g7scwo2aGe4lPpV7HThBE81hhJ >> jb4Ban7fxqbnOZqx7HxfcyqKrcB5BX7oJFHhMPumrxjm6aQJ0trW1Jgk0h9s2mNhZg4T_ >> gTUls8y4l0KZ-AstUtw0eC0TtR9mHblU7KWid-7OO4mg0TfsxWyNpcqkA8MBuGftOEgUF >> 7WtakShYgmCNYJkEfQJHK5_vjwK0taJeUheVw/https%3A%2F%2Fwww.theepochtimes >> .com%2Fstatistical-anomalies-in-biden-votes-analyses-indicate_3570518 >> .html%3Futm_source%3Dnewsnoe%26utm_medium%3Demail%26utm_campaign%3Dbr >> eaking-2020-11-08-5 >> >> Matthew >> >> On 11/8/20 11:25 PM, Bert Gunter wrote: >>> External Email - Use Caution >>> >>> NYT had interactive maps that reported votes by county. So try >>> contacting them. >>> >>> >>> Bert >>> >>> On Sun, Nov 8, 2020, 8:10 PM Abby Spurdle >>> wrote: > such a repository already exists -- the NY Times, AP, CNN, etc. > etc. already have interactive web pages that did this I've been looking for presidential election results, by ***county***. I've found historic results, including results for 2016. However, I can't find such a dataset, for 2020. (Even though this seems like an obvious thing to publish). I suspect that the NY Times has the data, but I haven't been able to work where the data is on their website, or how to access it. More ***specific*** suggestions would be appreciated...? >>> [[alternative HTML version deleted]] >>> >>> __ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://secure-web.cisco.com/1C8m4dUQtDXEQdbAFTH153ehiJcvHuL_FkvDGeJ >>> BHhMRYZauAp6gdevfmLIh2MLpRjBx7LXAG9QpagRV63oMY5AyQF6uOkNa7JGw-0zGZKI >>> FHoSuZtjpcIokATDMxqoJlVfCiktqIYXEiJcrovbnxo-DAgLEiREocQrn0yMbLc2A-gw >>> R3CN9XurWkU21TUD1CLJ-3gpiCLKKe9BdHWdaeEA/https%3A%2F%2Fstat.ethz.ch% >>> 2Fmailman%2Flistinfo%2Fr-help >>> PLEASE do read the posting guide >>>
Re: [R] analyzing results from Tuesday's US elections
Benford Analysis for Data Validation and Forensic Analytics Provides tools that make it easier to validate data using Benford's Law. https://www.rdocumentation.org/packages/benford.analysis/versions/0.1.5 Matthew On 11/9/20 9:23 AM, Alexandra Thorn wrote: > External Email - Use Caution > > This thread strikes me as pretty far off-topic for a forum dedicated to > software support on R. > > https://secure-web.cisco.com/15MzwKoUQfDzeGBDx9gweXKgiYtAPv1UlnW2dg9CuDtSNWgxy3ffTf_uuPizbjoJnovoOD6lrPDluOgGvIUTEF1d_rOTfaF3nUKLvNiZa3fHZ_IHD-SjKotr4lurHjmNPlSrljLipPsrDk2aoo63-GLwvaw64By_MnLST7lt4FgA2pYXgE3x15Xn-kRZ85m29f0BxhHJMVfilvVUoUEBPrw/https%3A%2F%2Fwww.r-project.org%2Fmail.html%23instructions > "The ‘main’ R mailing list, for discussion about problems and solutions > using R, announcements (not covered by ‘R-announce’ or ‘R-packages’, > see above), about the availability of new functionality for R and > documentation of R, comparison and compatibility with S-plus, and for > the posting of nice examples and benchmarks. Do read the posting guide > before sending anything!" > > https://secure-web.cisco.com/1V05G8mWSPHU-YvLbL-UQMy49XX7n7-EivE-gTOlh2nZ3P0oxp6DGUUZQ_Q5VIkE3J0qmhrrSXxJaqZjv-Tllghba8lQrbkazuAHTcltsfo3I-C-SMqhb-CDdFbeEgIsr7py_gKW9BqumTZacywhHVnzhGGR2s1A-2akqQLYSYpYeX5EcVJAYvX1KPCs9kJbOEveOr5yYjetokaZpLTzdMA/https%3A%2F%2Fwww.r-project.org%2Fposting-guide.html > "The R mailing lists are primarily intended for questions and > discussion about the R software. However, questions about statistical > methodology are sometimes posted. If the question is well-asked and of > interest to someone on the list, it may elicit an informative > up-to-date answer. See also the Usenet groups sci.stat.consult (applied > statistics and consulting) and sci.stat.math (mathematical stat and > probability)." > > On Mon, 9 Nov 2020 00:53:46 -0500 > Matthew McCormack wrote: > >> You can try here: >> https://secure-web.cisco.com/17WRivozTB0Frts23cTlTBd3SYWzVXQsLa_jDRN8SldAl35F0SYXRMZczzIXrQFTzbfRV4YfPOVhMSwopcdTU9Sva396s3bX3-KM7-51KjSnY0aXxlADYaHdvs4y4YXrUfk1GT2801rVL26MCEEn2E1azdQ8ECllu1roS_Z8MIj8d6kyCtUYVdOYN1i9DuWBSXPlEi-iOtrQsBp6ELRXNFw/https%3A%2F%2Fdecisiondeskhq.com%2F >> >> I think they have what you are looking for. From their website: >> >> "Create a FREE account to access up to the minute election results >> and insights on all U.S. Federal elections. Decision Desk HQ & >> Øptimus provide live election night coverage, race-specific results >> including county-level returns, and exclusive race probabilities for >> key battleground races." >> >> Also, this article provides a little, emphasis on little, of >> statistical analysis of election results, but it may be a place to >> start. >> >> https://secure-web.cisco.com/1JA34S9tw27K78g7scwo2aGe4lPpV7HThBE81hhJjb4Ban7fxqbnOZqx7HxfcyqKrcB5BX7oJFHhMPumrxjm6aQJ0trW1Jgk0h9s2mNhZg4T_gTUls8y4l0KZ-AstUtw0eC0TtR9mHblU7KWid-7OO4mg0TfsxWyNpcqkA8MBuGftOEgUF7WtakShYgmCNYJkEfQJHK5_vjwK0taJeUheVw/https%3A%2F%2Fwww.theepochtimes.com%2Fstatistical-anomalies-in-biden-votes-analyses-indicate_3570518.html%3Futm_source%3Dnewsnoe%26utm_medium%3Demail%26utm_campaign%3Dbreaking-2020-11-08-5 >> >> Matthew >> >> On 11/8/20 11:25 PM, Bert Gunter wrote: >>> External Email - Use Caution >>> >>> NYT had interactive maps that reported votes by county. So try >>> contacting them. >>> >>> >>> Bert >>> >>> On Sun, Nov 8, 2020, 8:10 PM Abby Spurdle >>> wrote: > such a repository already exists -- the NY Times, AP, CNN, etc. > etc. already have interactive web pages that did this I've been looking for presidential election results, by ***county***. I've found historic results, including results for 2016. However, I can't find such a dataset, for 2020. (Even though this seems like an obvious thing to publish). I suspect that the NY Times has the data, but I haven't been able to work where the data is on their website, or how to access it. More ***specific*** suggestions would be appreciated...? >>> [[alternative HTML version deleted]] >>> >>> __ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://secure-web.cisco.com/1C8m4dUQtDXEQdbAFTH153ehiJcvHuL_FkvDGeJBHhMRYZauAp6gdevfmLIh2MLpRjBx7LXAG9QpagRV63oMY5AyQF6uOkNa7JGw-0zGZKIFHoSuZtjpcIokATDMxqoJlVfCiktqIYXEiJcrovbnxo-DAgLEiREocQrn0yMbLc2A-gwR3CN9XurWkU21TUD1CLJ-3gpiCLKKe9BdHWdaeEA/https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help >>> PLEASE do read the posting guide >>> http://secure-web.cisco.com/1ppZyk8SO6U25PKNDKtGQ-VIADLxXgKvnHc8QlV3cUMNPzLQvS8E0i9cg05EyzUyHnFjj2QWDjvAjyuduvE1P8Nr0TogQweiuBysM9a1rXjQn1EOaypHdqwa2_inODK1icu0Ff33AZDB00N4x-nYxZ2e16nArVuaMEddaLXBhtBYMn2LAcPYJ8s2wGN10heiFWywn-r8--Hw77GJx1hkTgg/http%3A%2F%2Fwww.R-project.org%2Fposting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> [[alternative HTML
Re: [R] analyzing results from Tuesday's US elections
This thread strikes me as pretty far off-topic for a forum dedicated to software support on R. https://www.r-project.org/mail.html#instructions "The ‘main’ R mailing list, for discussion about problems and solutions using R, announcements (not covered by ‘R-announce’ or ‘R-packages’, see above), about the availability of new functionality for R and documentation of R, comparison and compatibility with S-plus, and for the posting of nice examples and benchmarks. Do read the posting guide before sending anything!" https://www.r-project.org/posting-guide.html "The R mailing lists are primarily intended for questions and discussion about the R software. However, questions about statistical methodology are sometimes posted. If the question is well-asked and of interest to someone on the list, it may elicit an informative up-to-date answer. See also the Usenet groups sci.stat.consult (applied statistics and consulting) and sci.stat.math (mathematical stat and probability)." On Mon, 9 Nov 2020 00:53:46 -0500 Matthew McCormack wrote: > You can try here: https://decisiondeskhq.com/ > > I think they have what you are looking for. From their website: > > "Create a FREE account to access up to the minute election results > and insights on all U.S. Federal elections. Decision Desk HQ & > Øptimus provide live election night coverage, race-specific results > including county-level returns, and exclusive race probabilities for > key battleground races." > > Also, this article provides a little, emphasis on little, of > statistical analysis of election results, but it may be a place to > start. > > https://www.theepochtimes.com/statistical-anomalies-in-biden-votes-analyses-indicate_3570518.html?utm_source=newsnoe_medium=email_campaign=breaking-2020-11-08-5 > > Matthew > > On 11/8/20 11:25 PM, Bert Gunter wrote: > > External Email - Use Caution > > > > NYT had interactive maps that reported votes by county. So try > > contacting them. > > > > > > Bert > > > > On Sun, Nov 8, 2020, 8:10 PM Abby Spurdle > > wrote: > >>> such a repository already exists -- the NY Times, AP, CNN, etc. > >>> etc. > >> already have interactive web pages that did this > >> > >> I've been looking for presidential election results, by > >> ***county***. I've found historic results, including results for > >> 2016. > >> > >> However, I can't find such a dataset, for 2020. > >> (Even though this seems like an obvious thing to publish). > >> > >> I suspect that the NY Times has the data, but I haven't been able > >> to work where the data is on their website, or how to access it. > >> > >> More ***specific*** suggestions would be appreciated...? > >> > > [[alternative HTML version deleted]] > > > > __ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://secure-web.cisco.com/1C8m4dUQtDXEQdbAFTH153ehiJcvHuL_FkvDGeJBHhMRYZauAp6gdevfmLIh2MLpRjBx7LXAG9QpagRV63oMY5AyQF6uOkNa7JGw-0zGZKIFHoSuZtjpcIokATDMxqoJlVfCiktqIYXEiJcrovbnxo-DAgLEiREocQrn0yMbLc2A-gwR3CN9XurWkU21TUD1CLJ-3gpiCLKKe9BdHWdaeEA/https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help > > PLEASE do read the posting guide > > http://secure-web.cisco.com/1ppZyk8SO6U25PKNDKtGQ-VIADLxXgKvnHc8QlV3cUMNPzLQvS8E0i9cg05EyzUyHnFjj2QWDjvAjyuduvE1P8Nr0TogQweiuBysM9a1rXjQn1EOaypHdqwa2_inODK1icu0Ff33AZDB00N4x-nYxZ2e16nArVuaMEddaLXBhtBYMn2LAcPYJ8s2wGN10heiFWywn-r8--Hw77GJx1hkTgg/http%3A%2F%2Fwww.R-project.org%2Fposting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html and provide commented, > minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [R-pkgs] sbo: N-gram Stupid Back-Off models in R
Dear all, I would like to introduce sbo: Utilities for building and evaluating text prediction functions based on Stupid Back-off N-gram models. v0.3.0 is now on CRAN: https://cran.r-project.org/web/packages/sbo/index.html website: https://vgherard.github.io/sbo/ For bugs/issues: https://github.com/vgherard/sbo Feedback of any kind is welcome. Sincerely, Valerio Gherardi. ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [effects] Wrong xlevels in effects plot for mixed effects model when multiline = TRUE
Dear list members,
I observe a strange/wrong graphical output when I set the xlevels
in (e. g.) allEffects for an lmer model and plot the effects with
multiline = TRUE. I have compiled a reprex for which you need the
lmer model and the environment in which the model was fitted. They
are contained in the zip file at
https://jlubox.uni-giessen.de/dl/fiSzTCc3bW8z2npZvPpqG1xr/m-and-G1.zip
After unpacking the following should work:
m <- readRDS("m.rds") # The lmer-model.
G1 <- readRDS("G1.rds") # Environment in which the model
# was fitted; needed by alaEffects.
summary(m) # Just to see the model.
library(effects)
aE <- allEffects(m, xlevels = list(gProt = 1:6 * 30))
# Non-default values for xlevels.
plot(aE) # Fine.
plot(aE, x.var = "Age") # Fine.
plot(aE, lines = list(multiline = TRUE)) # Fine.
plot(aE, lines = list(multiline = TRUE),
x.var = "Age")# Nonsense.
Anybody any idea about the reason, my mistake, or a
workaround? Thx for any hint!
Regards -- Gerrit
PS:
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] effects_4.2-0 carData_3.0-4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-41 MASS_7.3-53 grid_4.0.2
DBI_1.1.0
[6] nlme_3.1-149 survey_4.0 estimability_1.3 minqa_1.2.4
nloptr_1.2.2.2
[11] Matrix_1.2-18boot_1.3-25 splines_4.0.2statmod_1.4.34
lme4_1.1-23
[16] tools_4.0.2 survival_3.2-3 yaml_2.2.1 compiler_4.0.2
colorspace_1.4-1
[21] mitools_2.4 insight_0.9.5nnet_7.3-14
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany
http://www.uni-giessen.de/eichner
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] paste() turns list element character vector into deparsed expression. Why?
Thanks Ege -
That narrows it down, ... but it's still weird.
My issue is that I don't consider "c(\"xyz\", \"uvw\")" to be a valid character
representation of a list. c() is a function, so "c(\"xyz\", \"uvw\")" is a
string representation of a function call that could be eval(parse(...))'ed
into a two-element vector ... but considering this a coercion seems really
weird.
What do I think your example should return? An object of the same general
structure as the input, with non-character components coerced to character. And
if that's not possible because there is no good character representation (e.g.
if its a closure) than it should return an error.
Cheers,
Boris
> On 2020-11-09, at 22:24, Ege Rubak wrote:
>
> EXTERNAL EMAIL: Treat content with extra caution.
>
> I think `paste()` just calls `as.character()` on each input argument
> and then collapses things afterwards. Calling `as.character()` on the
> first input argument generates exactly the output you show (and didn't
> expect) and there is nothing to collapse. So changing `collapse = ""`
> to anything else doesn't change behaviour.
>
> The question is reduced to how `as.character()` should handle a list as
> input. It seems to me that this input is so generic that it is hard to
> handle graciously without all kinds of special cases. So you expect the
> length one list
>
> as.character(list(s = c("xyz", "uvw"))
>
> to return the length 2 character vector `c("xyz", "uvw")`? What should
>
> as.character(list(s = c("xyz", "uvw"), t = c("a", "b", "c"))
>
> return?
>
> Kind regards,
> Ege
>
> On Mon, 2020-11-09 at 11:38 +, Boris Steipe wrote:
>> I was just surprised by very un-intuitive behaviour of paste(), which
>> appears to collapse a one-column data frame or one-element list into
>> a deparsed expression, rather than producing the expected string. Can
>> someone kindly explain what's going on here?
>>
>>
>> reprex:
>> ===
>>
>> list(s = c("xyz", "uvw"))
>> # s
>> # 1 xyz
>> # 2 uvw
>>
>> paste(list(s = c("xyz", "uvw")), collapse = "")
>> # [1] "c(\"xyz\", \"uvw\")" # This is unexpected!
>>
>> I would have expected:
>> # [1] "xyzuvw"
>>
>> ... which I do get with e.g.
>> paste(list(s = c("xyz", "uvw"))$s, collapse = "")
>>
>> But what logic is there in returning a deparsed expression?
>>
>>
>>
>> Thanks!
>> Boris
>> __
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] paste() turns list element character vector into deparsed expression. Why?
I think `paste()` just calls `as.character()` on each input argument
and then collapses things afterwards. Calling `as.character()` on the
first input argument generates exactly the output you show (and didn't
expect) and there is nothing to collapse. So changing `collapse = ""`
to anything else doesn't change behaviour.
The question is reduced to how `as.character()` should handle a list as
input. It seems to me that this input is so generic that it is hard to
handle graciously without all kinds of special cases. So you expect the
length one list
as.character(list(s = c("xyz", "uvw"))
to return the length 2 character vector `c("xyz", "uvw")`? What should
as.character(list(s = c("xyz", "uvw"), t = c("a", "b", "c"))
return?
Kind regards,
Ege
On Mon, 2020-11-09 at 11:38 +, Boris Steipe wrote:
> I was just surprised by very un-intuitive behaviour of paste(), which
> appears to collapse a one-column data frame or one-element list into
> a deparsed expression, rather than producing the expected string. Can
> someone kindly explain what's going on here?
>
>
> reprex:
> ===
>
> list(s = c("xyz", "uvw"))
> # s
> # 1 xyz
> # 2 uvw
>
> paste(list(s = c("xyz", "uvw")), collapse = "")
> # [1] "c(\"xyz\", \"uvw\")" # This is unexpected!
>
> I would have expected:
> # [1] "xyzuvw"
>
> ... which I do get with e.g.
> paste(list(s = c("xyz", "uvw"))$s, collapse = "")
>
> But what logic is there in returning a deparsed expression?
>
>
>
> Thanks!
> Boris
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] paste() turns list element character vector into deparsed expression. Why?
I was just surprised by very un-intuitive behaviour of paste(), which appears
to collapse a one-column data frame or one-element list into a deparsed
expression, rather than producing the expected string. Can someone kindly
explain what's going on here?
reprex:
===
list(s = c("xyz", "uvw"))
# s
# 1 xyz
# 2 uvw
paste(list(s = c("xyz", "uvw")), collapse = "")
# [1] "c(\"xyz\", \"uvw\")" # This is unexpected!
I would have expected:
# [1] "xyzuvw"
... which I do get with e.g.
paste(list(s = c("xyz", "uvw"))$s, collapse = "")
But what logic is there in returning a deparsed expression?
Thanks!
Boris
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
