Dear R-users,
I've searched for an answer to my question, but so far haven't been able to
find a solution. Its likely a simple issue, but have no idea how to do this.
A simplified version my (very large) data set looks like this:
>
> bugs
FRUIT SEED_ID SURVIVE
1 1 A 1
2
It is truncated from left.
On Mon, May 16, 2011 at 6:33 PM, Greg Snow wrote:
> Which direction is it truncated? (only values less than a allowed or only
> greater?).
>
> One simple approach is rejection sampling, just generate from a regular
> poisson distribution, then throw away any values in
Thanks for the help. I appreciate.
On Mon, May 16, 2011 at 10:19 PM, Greg Snow wrote:
> So there is no maximum value, just a minimum (greater than 0)? Correct? In
> that case the sample option will not work (unless you choose some really
> high value and say that you wont go above that), but t
My usual rule is that whatever gives the widest confidence intervals
in a particular problem is most accurate for that problem :-)
Bootstrap percentile intervals tend to be too narrow.
Consider the case of the sample mean; the usual formula CI is
xbar +- t_alpha sqrt( (1/(n-1)) sum((x_i - xbar
Thank you very much Thomas!
I indeed learned a lot.
Baoqiang
On Tue, 2011-05-17 at 09:46 +1200, Thomas Lumley wrote:
> }
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https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-pro
So there is no maximum value, just a minimum (greater than 0)? Correct? In
that case the sample option will not work (unless you choose some really high
value and say that you won't go above that), but the rejection sampling would
still work. How efficiently it works will depend on how much pr
I am working with about 600 nodes in an Rgraphviz graph. Within this graph
there are, when plotted, about 8 obvious clusters that are highly connected
within them but do not share connections between them. I have a wrapper
function that handles a lot of tasks automatically for me like setting
vario
Hi R users
I trying to some aggregate statistics on a very large dataset. The null
values are causing a problem. I would like to calculate aggregate values
for groups. I am just no sure how to deal with the "" I would ideally
like them to ignored ie if there is only 1 value over several columns
th
?relevel
Also, you might want to fit the models as follows
Model1 <- glm.nb(Cells ~ Cryogel*Day, data = myData)
myData2 <- within(myData, Cryogel <- relevel(Cryogel, ref = "2"))
Model2 <- update(Model1, data = myData1)
&c
You should always spedify the data set when you fit a model if at all p
Hi Frank,
I know it's kind of beyond the scope of R help, but I would appreciate it if
you
can elaborate further on this. Are you worrying about this variable selection
approach or you think that there is something wrong with the data (it's
actually
a real dataset)? If it's the first one, I
Hello everyone,
I need to do k-medoids clustering for data which consists of 50,000
observations. I have computed distances between the observations
separately and tried to use those with pam().
I got the "cannot allocate vector of length" error and I realize this
job is too memory intensive. I
If you install you package does the following work
in a fresh R session
library(yourPackage)
annotIndex
or do you need to say data(annotIndex) before using
that object? (This may depend on whether yourPackage
uses a namespace or not.) If so then adding the line
LazyData: yes
to DESCRIPTI
Please ignore this message.
cheers,
Rolf Turner
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal,
Hello,
Apologies for a similar earlier post. I didn't include enough details in
that one.
I am having a little trouble subsetting some data based on a grouping
variable. I am using an instrument that does depth profiles of a water
column. The instrument records on the way down as well as the way
Follow-up to my previous message; just remembered another work-around
for the ``no visible binding'' note.
Wrap up your calls that involve "annotIndex" in text strings and then
evaluate these strings.
E.g.:
xxx <- "y <- x + annotIndex"
eval(parse(text=xxx))
That will fool the package
Which direction is it truncated? (only values less than a allowed or only
greater?).
One simple approach is rejection sampling, just generate from a regular poisson
distribution, then throw away any values in the truncated region. Another
approach if the legal values are those from 0 to a, so
Dear all,
I need to simulate values from a Poisson distribution which is truncated at
certain value 'a'. Can anyone tell me if there is in-built package in R
which can simulate from a truncated Poisson? If not, what should be the
steps to write a function which would do that?
Thanks in advance.
On 17/05/11 06:05, swaraj basu wrote:
Dear All,
I have built a package which has a data.frame "annotIndex.rda
in its "data" folder.
I am using this data frame within two functions in my package.
Though my package works fine, yet when I do a
Hello,
I am having a little trouble finding the right set of criteria to subset a
portion of data. I am using an instrument that does depth profiles of a
water column. The instrument records on the way down as well as the way up.
## So I am left with data like this:
dat <- data.frame(var = runif
Hi all,
I was trying to fit a Gamma hierarchical model using "glmer", but got weird
error message that I could not understand. On the other hand, a similar call to
the glmmPQL leads to results that are close to what I expect. I also tried to
change tha "nAGQ" argument in "glmer", but it did not
On May 16, 2011, at 4:19 PM, Timo Schlaefer wrote:
Dear all,
I implemented a non-linear model using nls(...) and it works just
fine. I now tried to run the same model using nlrob(...) which
basically does the same but uses a more robust estimation procedure.
My problem: I cannot seem to
On Mon, 2011-05-16 at 13:18 -0700, olafgy wrote:
> Hi there,
>
> I am trying to import 100 files with the names of "vpn 1 .dat" to "vpn 100
> .dat"
> into a respective table calld vpn1 to vpn100.
>
> I therfore have created a variable X<-1:100
>
> I not want to use X as a subtitute for the numb
On 16/05/2011 4:18 PM, olafgy wrote:
Hi there,
I am trying to import 100 files with the names of "vpn 1 .dat" to "vpn 100
.dat"
into a respective table calld vpn1 to vpn100.
I therfore have created a variable X<-1:100
I not want to use X as a subtitute for the number in my filename, so that I
Thanks !! This aggregate function is really powerful to do this kind of
manipulation! Looks like R is quite versatile for text manipulation, I don't
need to learn Perl language.
Appreciate all your guys help!
WONG, Hon-Kit (Stephen)
Cleary Lab, Dept of Pathology
Stanford University
Lokey Stem C
I've been looking for an IACF() procedure in R for a long time (it's a very
convenient function to check for overdifferencing time series), and
eventually decided to write my own function. Here's what I came up with :
3 web-pages helped me estimate it :
http://www.xycoon.com/inverse_autocorrelatio
Dear all,
I implemented a non-linear model using nls(...) and it works just fine. I now
tried to run the same model using nlrob(...) which basically does the same but
uses a more robust estimation procedure. My problem: I cannot seem to get
nlrob(...) running. Irrespective of how I try to call
Dear all,
I want to draw a draftsman plot using the pairs function and omit the axis
labels of the diagonal panel which does not work.
Is it also possible to remove the boxes of the diagonal panel?
Here is an example what the graph looks like
##
PC1<-c(1.1,1.2,1.
Hello David,
I'm not sure I get your question; if you replied to SO, I had not seen it. I
posted there today. I'm reading it now! I chose not to receive replies in my
email from SO but I must change that. Thank you for making me see that!
Sorry, I'm new to R-help and, especially, SO.
Thanks for y
Dear all,
I'm fitting a linear model with numerous lag terms of the response variable
[i.e. y(t-1), y(t-2),y(t-3)...,] and other explanatory variables [x(1), x(2),
x(3),]- which go into my design matrix X.
I'm fitting the linear model: lm(Y ~ X, ...).
I would like to use the predict.lm f
Hi there,
I am trying to import 100 files with the names of "vpn 1 .dat" to "vpn 100
.dat"
into a respective table calld vpn1 to vpn100.
I therfore have created a variable X<-1:100
I not want to use X as a subtitute for the number in my filename, so that I
have to write only one function and it
On Fri, May 6, 2011 at 10:11 AM, francoise orain
wrote:
> Hello
> I am a new user of R .
> and I ve problem with R and netcdf .
> I succed installation , I could use all examples .
> But when I take my netcf it is different .
>
> I want to do statistic on this kind of file .
>
> 1)
> first calcula
On Tue, May 17, 2011 at 9:03 AM, Baoqiang Cao wrote:
> Hi,
>
> I have the following two measurements stored in mat:
>
>> print(mat)
> [,1] [,2]
> [1,] -14.80976 -265.786
> [2,] -14.92417 -54.724
> [3,] -13.92087 -58.912
> [4,] -9.11503 -115.580
> [5,] -17.05970 -278.749
> [6
Hi,
I have the following two measurements stored in mat:
> print(mat)
[,1] [,2]
[1,] -14.80976 -265.786
[2,] -14.92417 -54.724
[3,] -13.92087 -58.912
[4,] -9.11503 -115.580
[5,] -17.05970 -278.749
[6,] -25.23313 -219.513
[7,] -19.62465 -497.873
[8,] -13.92087 -659.486
[
If you're using the RMySQL package, the obvious choice
for writing a data frame to a table is dbWriteTable.
Note the append= argument, which if set to TRUE, will
allow you to write as much or as little to the database
as you need.
But before you do that, you should probably try to understand
how l
On Mon, 2011-05-16 at 17:01 -0300, Nilza BARROS wrote:
> Hi, Jerome
>
> I was trying to use RMYSQL
>
> for (i in length(Query)) {
> rs1<-dbSendQuery(con,Query[i])
> }
>
> But although the Query have several lines the command above just feed
> my database with the first one.
>
> > Query
> [
Dear List,
I'm trying to install Rcplex on a ubuntu 64 bit machine, and have not been
successful.
After installing cplex latest version from ibm's website (everything as
standard, except
had it installed unto ~/ (the home directory) rather than the default
directory).
i type (from inside the
Dear Jerome,
I am a little ashamed about myself because the solutions is very easy. I
thought I have already read help about write.table.
But in fact I would like to use the RMysql to feed my database if you know
something about I'd like to know.
Bye and Thanks.
On Mon, May 16, 2011 at 5:01 PM,
Hi R experts,
I'm attempting to run Linear Discriminant Analysis using the lda function in
the MASS package. I've got around 50 predictor variables and one response
variable. My response variable has 5 numeric categories that represent
different clusters of fish abundance data (clusters were de
On Mon, 16-May-2011 at 02:55PM -0300, Nilza BARROS wrote:
|> Dear R-user,
[...]
|> 2) My script
|>
|> outfile<- with(as.data.frame(Alldados),sprintf("INSERT INTO OBS
|> (date,TMAX_2M,TMIN_2M,TD_2M,PS,FF_10M,DD_10M,Station_NO) VALUES (%s, %s, %s,
|> %s,%s,%s,%s,%s)",date2,TMAX_2M,TMIN_2M,TD_2M,P
Hi, Jerome
I was trying to use RMYSQL
for (i in length(Query)) {
rs1<-dbSendQuery(con,Query[i])
}
But although the Query have several lines the command above just feed my
database with the first one.
> Query
[1] "INSERT INTO OBS
(date,T_2M,TMAX_2M,TMIN_2M,TD_2M,PS,FF_10M,DD_10M,TOT_PRCP,CLCL,
Thank you Michael; this was helpful!
Katie
-Original Message-
From: Michael Denslow [mailto:michael.dens...@gmail.com]
Sent: Wednesday, May 11, 2011 06:07 AM
To: Songer, Katherine B - DNR
Cc: r-help@r-project.org
Subject: Re: [R] metaMDS and envfit: Help reading output
Hi Katie,
On Tue
Scott,
Thanks very much! That thread was especially helpful.
Katie
P Katie Songer
Water Resources Management Specialist
Wisconsin Department of Natural Resources
(*) phone: (608)264-8947
(*) e-mail: katherine.son...@wisconsin.gov
From: Scott Chamberla
On Mon, 2011-05-16 at 14:55 -0300, Nilza BARROS wrote:
> Dear R-user,
>
> I have to feed my database using some SQL commands. I have already read a
> data frame with the data I need but
> after that these data should be write in a file wtih SQL commands.
>
> 1) My dataframe:
>
> dput(Alldados)
On Mon, 2011-05-16 at 08:40 -0700, Neera Thapa wrote:
> Hello..
> I am currently working on running random forest to make predictions. For that
> I
> have a bunch of.dbf files from shapefiiles. Earlier I was running random
> forest
> on those dbf files individuallybut now I have >1,000 such fi
?choose.dir
On Mon, May 16, 2011 at 2:23 PM, Michael Friendly wrote:
> Under Windows (and maybe others) you can use file.choose() as a substitute
> for an explicit file=
> argument in most places.
> Is there an analog for what I'll call dir.choose(), so that I can say
>
> setwd(dir.choose())
>
>
On May 16, 2011, at 10:25 AM, Assu wrote:
Hi all
I have a data frame with duplicate columns and i want to remove
duplicates
by adding rows in each group of duplicates, but have lots of NA's.
Data:
dfrm <- data.frame(a = 1:4, b= 1:4, cc= 1:4, dd=1:10, ee=1:4)
names(dfrm) <- c("a", "a", "b",
Thanks !
I'll do that, it seems easier with perl.
Thibault Charles
Solamen
Audencia - 8 route de la Jonelière
44300 Nantes
+33 2 40 37 46 76
Le 16 mai 2011 à 18:43, Philipp Pagel a écrit :
> On Mon, May 16, 2011 at 01:50:15PM +0200, Thibault Charles wrote:
>> Thank you for your response.
>>
assuming that the row entries for the columns with the same name are not
all zero, you can try something in the following lines:
dfrm <- data.frame(a = 1:4, a = 1:4, b = 1:4,
b = 1:4, b = 1:4, check.names = FALSE)
dfrm[3, 1:3] <- NA
dfrm
vals <- unlist(dfrm)
res <- tapply(vals, names(vals),
Please don't be serious about doing variable selection with this dataset.
Frank
Shi, Tao wrote:
>
> Hi Terry,
>
> Really appreciate your help! Sorry for my late reply.
>
> I did realize that there are way more predictors in the model. My initial
> thinking was use that as an initial model fo
Under Windows (and maybe others) you can use file.choose() as a
substitute for an explicit file=
argument in most places.
Is there an analog for what I'll call dir.choose(), so that I can say
setwd(dir.choose())
thx,
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, P
I had meant to copy the list on this; must have hit 'Reply'
instead of 'Reply All'.
P Ehlers
Original Message
Subject: Re: [R] rbind with partially overlapping column names
Date: Mon, 16 May 2011 11:14:11 -0600
From: Peter Ehlers
To: Jonathan Flowers
On 2011-05-16 08:56, Jon
Dear All,
I have built a package which has a data.frame "annotIndex.rda
in its "data" folder.
I am using this data frame within two functions in my package.
Though my package works fine, yet when I do a
R CMD check
to my packag
I am struggling to generate p values for comparisons of levels (post-hoc
tests) in a glm with a negative binomial distribution
I am trying to compare cell counts on different days as grown on different
media (e.g. types of cryogel) so I have 2 explanatory variables (Day and
Cryogel), which are bot
Hi all
I have a data frame with duplicate columns and i want to remove duplicates
by adding rows in each group of duplicates, but have lots of NA's.
Data:
dfrm <- data.frame(a = 1:4, b= 1:4, cc= 1:4, dd=1:10, ee=1:4)
names(dfrm) <- c("a", "a", "b", "b", "b")
dfrm[3,2:3]<-NA
dfrm
a a b b b
Hello..
I am currently working on running random forest to make predictions. For that I
have a bunch of .dbf files from shapefiiles. Earlier I was running random
forest
on those dbf files individually but now I have >1,000 such files and procesisng
one by one is not an option.
I started by tr
Hi all,
I'm using a logistic regression model (created with 'glm') with 3 variables
to separate true positives from errors in a data set. All in all it seems to
perform quite well, but for some reason the logit values seem to be much
lower that they should be. What I mean is that in order to get ~9
I'm trying to build a SEM using the sem package. I'll attach my model
specification below.
When I turn debug=TRUE, it seems as if I'm getting to convergence
because I get this message:
Successive iterates within tolerance.
Current iterate is probably solution.
However, at the end of the process
Hi Terry,
Really appreciate your help! Sorry for my late reply.
I did realize that there are way more predictors in the model. My initial
thinking was use that as an initial model for stepwise model selection. Now I
wonder if the model selection result is still valid if the initial model did
Dear R-user,
I have to feed my database using some SQL commands. I have already read a
data frame with the data I need but
after that these data should be write in a file wtih SQL commands.
1) My dataframe:
dput(Alldados)
structure(list(Station_NO = c(836490, 836920, 836950, 836980,
837380, 83
Jessica,
Take a look at the FactoMineR and SensoMineR packages:
http://cran.r-project.org/web/packages/FactoMineR/
http://cran.r-project.org/web/packages/SensoMineR/
Best,
Greg
On 5/16/11 2:14 AM, Jessica Minkue wrote:
> Hello everyone.
>
> In my last post I did not explained my problem quite w
Hi:
A more 'R-ish' way to do this would be to use sapply() in place of the
loop as follows:
N = c(1000,100,80,250,125,375,90,211,160,540)
corrfun <- function(n) {
require(MASS)
dat <- mvrnorm(n=n, mu=c(0,0), Sigma=matrix(c(1,.3,.3,1), 2))
r <- cor(dat)[1, 2]
}
sapply(N, corrfun)
# My
On Mon, May 16, 2011 at 01:50:15PM +0200, Thibault Charles wrote:
> Thank you for your response.
>
> In this case, do you think it is possible to write a little program in java
> which would execute my script and simulate a press on my keyboard ?
I think you need to do it the other way round: let
Re-sizing within the dev command works well. I'm not sure why I would need the
dev.off(). I have the plot commands run. Then I have the dev.copy2pdf command.
Thanks again for your help.
-Original Message-
From: greg.s...@imail.org [mailto:greg.s...@imail.org]
Sent: Monday, May 16, 2011
If your goal is to end up with a pdf file, then I would suggest creating the
pdf file directly using the pdf function (you can specify height and width in
the function) then run your commands to create the plot and use dev.off() to
finish.
You often get different results when writing directly t
Hi all,
Thanks for your responses. The merge output works for the test case as Bill
pointed out, but is contingent on non-overlapping values. Thanks for
pointing this out Ian. My actual dataset needs to allow for overlapping
values (sorry for the poor test case) so I will cook up something like
I just saw this post:
http://r.789695.n4.nabble.com/X11-plot-window-sizes-td900509.html
where is explains that the window size cannot be larger than 85% of your
screen. I'm not sure what you are referring to about the copying the whole
region, not just the plot. Also, I remember using the width a
Ken bu.edu> writes:
> # create "chron" time vector
> library(chron)
> excel.dates <- seq(40179.0 + 1/6, 40180.0 + 1/6, 1/6)
> orig <- chron("12/30/1899")
> date.time <- orig + excel.dates;
> time.only <- substr(date, 11, 18)
Found one error in my script above. Correction:
time.only <- substr(
Thanks to Thomas, Steve, Uwe, and others for reporting the problem and
suggesting fixes. A new version of snow is on its way to CRAN that
hopefully fixes the problem on Windows without breaking tings
elsewhere. I don't have access to Windows at the moment so if things
don't work and you are willi
Pablo Rosado lbl.gov> writes:
>
> Hi,
>
> I am plotting data in which the x values are a timestamp. I am trying to
> change the x-ticks so they will be in specified hours of the day, but it
> always start from hour 4 of the day. And I need it to start from the
> beginning of the axis (at x=0)
Presumably you have read the help file and tried specifying width
and/or height, right? Also, note the comment about copying the whole
region, not just the plot. Does any of this help?
-- Bert
On Mon, May 16, 2011 at 7:41 AM, Schatzi wrote:
> I am outputting the plot to a pdf file using the cod
On 16/05/2011 11:17 AM, Chris Mcowen wrote:
Thanks for this,
With the data i have what is the best method to convert it into the required
matrix, as i am a little unsure how it would be done - i imagine this must be a
common task?
You can't convert it. Your data doesn't form a surface.
You
Thanks for this,
With the data i have what is the best method to convert it into the required
matrix, as i am a little unsure how it would be done - i imagine this must be a
common task?
Chris
On 16 May 2011, at 16:05, Duncan Murdoch wrote:
On 16/05/2011 10:57 AM, Chris Mcowen wrote:
> Sorry,
Sorry,
My bad -
I have notice you can remove the data call when using this and it works the
same, also FD is the same as Residual_FD i just forgot i coded it different.
wireframe(FD ~ Elevation * Temperature, scales = list(arrows = FALSE), drape =
TRUE, colorkey = TRUE)
Sorry and thanks agai
On 16/05/2011 8:40 AM, Chris Mcowen wrote:
Dear List,
i am trying to produce a 3d plot using wireframe using the code:
wireframe(Residuals_FD ~ Elevation * Temperature, data = data2, scales =
list(arrows = FALSE), drape = TRUE, colorkey = TRUE)
As you can see when the code (using the data bel
I am outputting the plot to a pdf file using the code:
dev.copy2pdf(file="testing.pdf")
The plots are too small though unless I first manually increase the size in
R and then use the dev.copy command. Is there a way to automatically
increase the window size? I tried fin and din, but those do not s
I spoke too soon about tcut: it does not inherit from cut. The reason
is that it preserves the original value, not just the category into
which that value falls.
Terry T.
__
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https://stat.ethz.ch/mailman/listinfo/r-help
Thank you for your comment, Prof. Harrell.
I would appreciate it very much if you could teach me how to simulate
for the estimation. For reference, following codes are what I did
(bootcov, summary, and validation).
MyFullModel.boot <- bootcov(MyFullModel, B=1000, coef.reps=T)
> summary(MyFull
>> pfit2 <- pyears(time, status) ~ acut + sex, data=mydata)
>I think there was an omitted Surv function call above.
Correct
>And a follow on question and a tentative answer: Can one generate a
>'pyears' table that incorporates categories of time observed by
>tcut()- ting the time variable and
Wow, this was fast and helpful!
Thank you very much.
Best,
Holger
--
View this message in context:
http://r.789695.n4.nabble.com/Simulating-correlations-with-varying-sample-sizes-tp3526231p3526288.html
Sent from the R help mailing list archive at Nabble.com.
___
I used manova() with one predictor variable and four factor levels call them
A, B, C, and D. There are 12 response variables. I now want to perform
pairwise comparisons for A-B, A-C, etc. for all 12 response variables.
If I were doing an ANOVA test I would run TukeyHSD() and be done. However
mano
I'm trying to export a data frame to Excel using the RODBC sqlSave function. I
don't want the colnames, so I use the colnames=F option. Unfortunately, the
column names still show up as the first row in my spreadsheet. If I set the
colnames=T, then the column names show up in BOTH rows 1 and 2. I
Dear List,
i am trying to produce a 3d plot using wireframe using the code:
wireframe(Residuals_FD ~ Elevation * Temperature, data = data2, scales =
list(arrows = FALSE), drape = TRUE, colorkey = TRUE)
As you can see when the code (using the data below) is run the plot area is
set-up correctly
-:begin inclusion ---
There can be some risk in creating your own extraction methods, since
the author of a package may have had reasons for not making it
available, but in this case he did offer a table that includes the
--end ---
You are reading too deeply. When survreg was written 20+ y
Hi Holger,
Replace "N" by "N[i]".
HTH,
Jorge
On Mon, May 16, 2011 at 9:42 AM, Holger Steinmetz <> wrote:
> Hi there,
>
> I would like to draw 10 correlations from a bivariate population - but
> every
> draw should be done with a different sample size. I thought I could to this
> with a loop:
>
Hi there,
I would like to draw 10 correlations from a bivariate population - but every
draw should be done with a different sample size. I thought I could to this
with a loop:
r=numeric(10) #Goal vector
N = c(1000,100,80,250,125,375,90,211,160,540) #Sample size vector
for(i in 1:10) {
data <
The choice is not clear, and requires some simulations to estimate the
average absolute error of the covariance matrix estimators.
Frank
細田弘吉 wrote:
>
> Thank you for your reply, Prof. Harrell.
>
> I agree with you. Dropping only one variable does not actually help a lot.
>
> I have one more q
On 16/05/2011 8:33 AM, Lyolya wrote:
Dear Duncan,
Thank you very much for your reply!
I have tried what you have suggested. R was definitely assuming a different
text encoding, and after trying the l10n_info() command, I got the
following:
l10n_info()
$MBCS
[1] TRUE
$`UTF-8`
[1] TRUE
$`Lati
Dear Duncan,
Thank you very much for your reply!
I have tried what you have suggested. R was definitely assuming a different
text encoding, and after trying the l10n_info() command, I got the
following:
l10n_info()
$MBCS
[1] TRUE
$`UTF-8`
[1] TRUE
$`Latin-1`
[1] FALSE
My data is a dataframe
What exactly is the problem?
Please read the posting guide and follow it. Your message is hard to
interpret as is (in no small part because it looks like markup),
contains no R code, and has no mention of an error at all.
2011/5/15 meltem gölgeli :
> Dear R-users,
> I'am really new at R. That's w
Hi,
I am trying to do multiple imputation on a panel of data and then, use the
imputed values in stochastic frontier analysis. I am using this code just as
a start to see if will run:
mi(countrydata, n.iter = 30, R.hat = 1.1, max.minutes = 20, rand.imp.method =
"bootstrap", run.past.conver
> Hi Y'all,
>
> I am using the text mining package (tm). I am trying to filter out all of the
> words in a Term Document Matrix that are not in a list of words that I am
> interested in. I am using the following code:
>
> z<-tm_intersect(txt.dtm, c("communications", "safety", "climate", "blood
hello
I think if you try this:
for(j in 1: length(nsample)){
MEANS[,]<-create.means.one.size(j,var,nboot)
}
it will work
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Folks,
I guess I know what is going on (and why I haven't seen this so far):
All of you have installed R in a directory with blanks in it, right?
Please source() the attached sock.R and afterwards try again. Does it
work with SOCK clusters now? Then it was just the lack of quotes.
CCing Luk
Thank you for your response.
In this case, do you think it is possible to write a little program in java
which would execute my script and simulate a press on my keyboard ?
If yes, does anybody experiment it and could give me some help or advice ?
Thanks,
Thibault Charles
Solamen
Audencia - 8 r
On Mon, May 16, 2011 at 11:27:05AM +0200, Thibault Charles wrote:
> I cannot find a way to simulate a keyboard event as pressing the ?enter?
> key.
> for (i in 1:nombre_fichiers_monteCarlo){
> system(paste('"C:/Trnsys17/Exe/TRNExe.exe"',liste_dck_monteCarlo[i]),wait=TRUE)
> }
>
> My problem is tha
Santosh, Ivan,
This is also what I was looking for. Thanks. Looking at the source of
dataFrame.default is seems that it uses the same approach as I did:
first create a list then a data.frame from that list. I think I'll stick
with the code I already had as I don't want another dependency (mult
Hi all,
I have a problem with getting my code to do what I want!
This is the code I have:
create.means.one.size<-function(nsample,var,nboot){
mat.x<-matrix(0,nrow=nboot,ncol=nsample)
for(i in 1:nboot){
mat.x[i,]<-sample(var,nsample,replace=T)
}
mean.mat<-rep(0,nboot)
for(i in 1
Forget this last email, I oversaw the implementation in the examples...
Ivan
Le 5/16/2011 11:35, Ivan Calandra a écrit :
Actually, what would be even better would be an extra argument to
specify the column names.
I don't think it's very difficult to implement and it would make
things even easi
Actually, what would be even better would be an extra argument to
specify the column names.
I don't think it's very difficult to implement and it would make things
even easier.
Ivan
Le 5/16/2011 11:25, Ivan Calandra a écrit :
Thanks Santosh!
The more I learn about R.utils, the more I think tha
Hello all R helpers,
I really need your help
I cannot find a way to simulate a keyboard event as pressing the enter
key.
Does anyone know about it ?
Thanks a lot,
Thibault Charles
Solamen
Audencia - 8 route de la Jonelière
44300 Nantes
+33 2 40 37 46 76
De : Thibault
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