Will,
I'm wondering if you have any
insights after looking at the cor.test source code. It seems to be fine to me,
as the p value is either calculated by "your first method" or a
.C code.
...Tao
- Original Message
> From: Will Eagle
> To: r-help@r-project.org
> Sent: Wed, May 19
Thank you for your responses, but I don't think you're right about the doc...
I carefully looked at it before posting and ran the examples, looked in
Vanderbilt Biostat doc, and just looked again example(nomogram) :
1st example : categorical*continous : two axes for each sex
f <- lrm(y ~ lsp(age,5
Hello,
I'm working with a very large, very sparse X matrix. Let csr.X <- *
as.matrix.csr*(X) as described by the SparseM package.
The documentation says that "Indexing work just like they do on dense
matrices". To me this says that I should be able to perform operations on
the rows of csr.X
Is there a R package that calculates the standard errors of prediction/fit from
lme/nlme models?
Tschüß
Tony Meissner
Principal Scientist (Monitoring)
Resources Monitoring Group
Science, Monitoring and Information Division
Department of Water, Land & Biodiversity Conservation
"Imagine" ©
*(ph) (0
On Thu, May 20, 2010 at 10:31 AM, Joshua Wiley wrote:
> Dear Mohan,
>
> First, I would like to modify my code slightly to:
>
> data <- rbind(data,data.frame(State="Total",t(apply(data[,-1], 2, sum,
> na.rm=TRUE
>
> This actually will add a 7th level to your factor automatically. The
> reason
Dave--
Given that you want all comparisons among all means in your design, you
won't get that directly in a call to lme (or lmer in lme4 package).
Take a look at multcomp package and its vignettes, where I think you'll
find what you're looking for.
cheers, Dave
--
Dave Atkins, PhD
Research
Sorry, that should be
qplot(x,y,data=yourdataset, colour= z)
On Thu, May 20, 2010 at 3:07 PM, Daisy Englert Duursma
wrote:
> the package ggplot2 makes it really really easy!
>
> qplot(x,y,data=yourdataset, colour= color)
>
--
Daisy Englert Duursma
Room E8C156
Dept. Biological Sciences
Macqua
the package ggplot2 makes it really really easy!
qplot(x,y,data=yourdataset, colour= color)
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https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
an
Dear Mohan,
First, I would like to modify my code slightly to:
data <- rbind(data,data.frame(State="Total",t(apply(data[,-1], 2, sum,
na.rm=TRUE
This actually will add a 7th level to your factor automatically. The
reason I wanted to change from using c() to data.frame() is that if
one uses
On May 19, 2010, at 9:10 PM, Biau David wrote:
Hello,
I have a dataframe (var_1, var_2, ..., var_n) and I would like to
export summary statistics to Latex in the form of a table. I want
specific summary statistics by crossing numerous variables 2x2 AT
ONCE. In each cell I would like some
Dear all,
I was wondering if there is an easy way to set the position of the x-axis in
ggplot with respect to where it intercepts the y-axis? The default is for
the x-axis to be positioned at the bottom of the chart, but I would like to
force it to intercept at y = 0 (I have both positive and nega
On May 19, 2010, at 11:19 PM, Mohan L wrote:
How to safely avoid this warning massage?
Now I have instead of "Total" in last row State column. How to I
replace it as "Total"?
Dear All,
The below link provides a very good explanation of "Creating factor
variables" and way to avoid the war
Thank David and Jim.
I got it.
-
A R learner.
--
View this message in context:
http://r.789695.n4.nabble.com/sample-and-rearrange-tp747p2223872.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
Tao,
You might also have a look at the venneuler package.
-Peter Ehlers
On 2010-05-19 21:37, David Winsemius wrote:
On May 19, 2010, at 7:15 PM, Shi, Tao wrote:
Hi list,
This is probably too much to ask, but I'm wondering if there is a
ready-to-use function somewhere that allows me to col
HI,All
I am trying to create a heatmap with 24 samples with 15672 varibles, I read
in the table in R, and then made it as a matrix, then try to create the
heatmap using heatmap(x,...)
However, I received the error message as:
> heatmap(t(x))
Error: cannot allocate vector of size 936.8 Mb
R(2925,0
To remove NA instead of Total:
rbind(data,cbind(State="Total", t(apply(data[,-1],2,sum
-
A R learner.
--
View this message in context:
http://r.789695.n4.nabble.com/Re-Adding-column-sum-to-new-row-in-data-frame-tp2223277p2223855.html
Sent from the R help mailing list archive at Nabb
Hello,
I have a dataframe (var_1, var_2, ..., var_n) and I would like to export
summary statistics to Latex in the form of a table. I want specific summary
statistics by crossing numerous variables 2x2 AT ONCE. In each cell I would
like sometimes to have the median (Q1 - Q3), or frequency and p
Hi Ben!
Following his recommendations I did the following:
1st step:
I compared the best model for binomial and binomial inflates.
1.1 Best model for Binomial.
dg$resp.mumi <- cbind(dg$MUMI,dg$NT - dg$MUMI)
dg
names(dg)
mod.mumi.binomial <- glm(resp.mumi ~ factor(PARTO)*REG, family=binomial,
da
On May 19, 2010, at 7:15 PM, Shi, Tao wrote:
Hi list,
This is probably too much to ask, but I'm wondering if there is a
ready-to-use function somewhere that allows me to color one area of
a venn diagram (e.g. the intersection of two sets)?
There is an intersectDiagrapm in plotrix that
>
>
> How to safely avoid this warning massage?
> Now I have instead of "Total" in last row State column. How to I
> replace it as "Total"?
>
> Dear All,
The below link provides a very good explanation of "Creating factor
variables" and way to avoid the warning message
http://www.ats.ucla.edu/st
Dear R Experts,
I am attempting to run a mixed effects model on a within-subjects repeated
measures design, but I am unsure if I am doing it properly. I was hoping
that someone would be able to offer some guidance.
There are 5 independent variables (subject, condition, difficulty,
repetition) and
And made slightly easier with panel.levelplot.points from latticeExtra:
http://latticeextra.r-forge.r-project.org/#panel.levelplot.points
On 19 May 2010 22:24, baptiste auguie wrote:
> Hi,
>
> See also ?lattice::xyplot and ?ggplot2::geom_point , either one can do
> it automatically.
>
> HTH,
>
>
Hi Joshua,
>
>
>
> rbind(data, c("Total",apply(data[,-1], 2, sum, na.rm=TRUE)))
>
Yes. This what exactly I want. Thanks for your time.
>
> If your State column is a factor, it will return a warning that NAs
> were introduced (but the totals will still be at the bottom).
>
Yes.
> is.factor(data
One way is to use strapply in the gsubfn package. It is like apply in
that the first argument is the object (in both cases), the second is
the modifier (the margin in the case of apply and the regular
expression in the case of strapply) and a function (in both cases).
The parenthesized expressions
you just need the function name; the parameter is being supplied by the lapply:
t(apply(x, 1, rearrange))
On Wed, May 19, 2010 at 7:47 PM, Wu Gong wrote:
>
> I tried to use a separate function to make the code more understandable. But
> I failed. I don't know what's wrong with the code.
>
> x <
On May 19, 2010, at 7:47 PM, Wu Gong wrote:
I tried to use a separate function to make the code more
understandable. But
I failed. I don't know what's wrong with the code.
x <- as.matrix(x)
rearrange <- function(.row){
z <- do.call(rbind, strsplit(.row[-1], ''))
z.col <- t
I tried to use a separate function to make the code more understandable. But
I failed. I don't know what's wrong with the code.
x <- as.matrix(x)
rearrange <- function(.row){
z <- do.call(rbind, strsplit(.row[-1], ''))
z.col <- t(apply(z, 2, paste, collapse=''))
cbind(.ro
Try this:
read.table(textConnection(gsub("([[:alpha:]])(\\d.*)", "\\1;\\2", x)), sep =
";")
or
do.call(rbind, strsplit(gsub("([[:alpha:]])(\\d.*)", "\\1;\\2", x), ";"))
On Wed, May 19, 2010 at 9:15 PM, Krishna Tateneni wrote:
> Greetings,
>
> I have a vector of values that are a word followed
Hi Krishna,
Here is a suggestion:
> x <- c("Apple12","HP42","Dell91")
> foo <- function(x) data.frame(brand = gsub("[0-9]", "", x), number =
gsub("[^0-9]", "", x))
> foo(x)
# brand number
# 1 Apple 12
# 2HP 42
# 3 Dell 91
HTH,
Jorge
On Wed, May 19, 2010 at 8:15 PM, Krishna Tat
Greetings,
I have a vector of values that are a word followed by a number, e.g., x =
c("Apple12","HP42","Dell91"). The goal is to split this vector into two
vectors such that the first vector contains just the words and the second
contains just the numbers. I cannot use strsplit (or at least I d
I am learning classification using SVM for research (survey).
The data that I have had some class. I know that the library (e1071)
can only handle
multiclass with one-against-one-method. I want to know are there any
other functions
or library which can handle multiclass methods like:
- multiclass S
Hi,
I'm starting to think this is a Mac OS X Snow Leopard specific issue.
The GNU docs on the tar format say the type flag 'x' means this:
#define XHDTYPE 'x'/* Extended header referring to the
next file in the archive */
Maybe, OSX is putting some
Hi list,
This is probably too much to ask, but I'm wondering if there is a ready-to-use
function somewhere that allows me to color one area of a venn diagram (e.g. the
intersection of two sets)?
Thanks!
...Tao
__
R-help@r-project.org mailing list
ht
On 05/19/2010 04:36 PM, Marc Carpentier wrote:
I'm sorry. I don't understand the "omit" solution, and maybe I mislead you with
my explanation.
With the data from the "f" exemple of nomogram() :
Let's declare :
f2<- cph(Surv(d.time,death) ~ sex*(age+blood.pressure))
I guess the best (and maybe t
I hope that somebody can help me with this - I think very simple - issue...?
I am running a package that only accepts one line at a time, but I would
like to run this package on a dataframe of >500 lines.
Dataframe "d" is a single column:
APPLES
PEARS
AUBERGINES
KUMQUATS
I would like to read
Dear all,
thanks for your feedback so far. With the help of a colleague I think I
found the solution to my problem:
> pt(10,100,lower=FALSE)
[1] 4.950844e-17
IS *NOT* EQUAL TO
> 1-pt(10,100,lower=TRUE)
[1] 0
This means that R is capable of providing p-values < 2.2e-16, however,
if the valu
Try this:
by(x, x$Form, function(.x)rbind(.x[-3], sum(.x[2])))
On Wed, May 19, 2010 at 6:49 PM, Gerrit Draisma wrote:
> I am looking for the following simple question.
> I have a data frame with names and numbers, divided in categories.
> I would like to produce a text file with page breaks,
> l
On May 19, 2010, at 5:01 PM, Wu Gong wrote:
It took me a day to make the sense of Jim's code :(
Hope my comments will help.
## Transform data to matrix
x <- as.matrix(x)
## Apply function to each row
## Create a function to rearrange bases
result <- apply(x, 1, function(eachrow){
## Split
Hi R-help,
Yes, this is my second request for assistance in a single day
I am attempting to use svychisq() inside a function I made. The goal
of this function is to produce a table of summary statistics that I can
later output to EXCEL (simple frequencies and sample sizes from regular
cross
I am looking for the following simple question.
I have a data frame with names and numbers, divided in categories.
I would like to produce a text file with page breaks,
listing the names and numbers by category,
and totalling the numbers.
Example:
Name<-LETTERS[1:6]
Score<-rep(5:8,length.out
Thanks to everyone for the replies and functions. For some reason my emails
are not going to the thread. I just switched to the newer mail version for my
yahoo account, so hopefully this one will get posted.
Aloha,
Tim
Tim Clark
Department of Zoology
University of Hawaii
- Original
It took me a day to make the sense of Jim's code :(
Hope my comments will help.
## Transform data to matrix
x <- as.matrix(x)
## Apply function to each row
## Create a function to rearrange bases
result <- apply(x, 1, function(eachrow){
## Split each gene to bases
## Exclude the fist column wh
Duncan Murdoch schrieb:
On 19/05/2010 12:14 PM, Hilmar Berger wrote:
Hi all,
This occurred in R-2.11.0 (WinXP).
The R-help page of .[ says that:
"Character indices can in some circumstances be partially matched (see
pmatch) to the names or dimnames of the object being subsetted (but
never
I'm quite new to this - and would appreciate some help getting started...
I am looking to feed data from dataframe A, one line at a time into an input
frame to the program, and then save the output into a different dataframe.
input frame - one column:
ABCDEFTATF
AHFUTJRAUUFS
TITIAJFSUDFJA
TIDUS
I'm sorry. I don't understand the "omit" solution, and maybe I mislead you with
my explanation.
With the data from the "f" exemple of nomogram() :
Let's declare :
f2 <- cph(Surv(d.time,death) ~ sex*(age+blood.pressure))
I guess the best (and maybe the only) way to represent it with a nomogram is
You haven't given us the 'at a minimum' information asked for in the
the posting guide (but we can guess you are using Windows), nor do we
know the intended encoding of this email (I see no encoding in the
header as it reached me, but it seems sensible viewed as UTF-8). And
the absence of basic
It does indeed! thank you very much, and thanks to mark leeds as well,
who emailed me off list with a similar solution.
On 5/19/2010 3:49 PM, Peter Alspach wrote:
> Tena koe Allie
>
> Does
>
> sapply(myframe, class)
>
> do what you want?
>
> Peter Alspach
>
>
>> -Original Message-
>> F
Tena koe Allie
Does
sapply(myframe, class)
do what you want?
Peter Alspach
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Alexander Shenkin
> Sent: Thursday, 20 May 2010 8:19 a.m.
> To: r-help@r-project.org
> Subject: [R]
On Wed, May 19, 2010 at 4:51 PM, Lucia Rueda wrote:
>
> Hi Joris,
>
> We're using mgcv.
>
> We have data on abundance of groupers on line transects that have the same
> length.
I only now realized groupers are actually fish :-). Should work on my
english skills...
> My coworker has selected a
Hi, one approach is document below. The function should work with any
regression function that follows the syntax of lm (others will need
adjustments). Note that you would have to create the interactions terms by
hand (which is no big deal if there are just few). Note also that this
approach can b
On 05/19/2010 03:17 PM, Marc Carpentier wrote:
Dear list, I'm facing the following problem : A cox model with my sex
variable interacting with several continuous variables :
cph(S~sex*(x1+x2+x3)) And I'd like to make a nomogram. I know it's a
bit tricky and one mights argue that nomogram is not a
Thanks, Phil!
Does that mean only eight colors can be used in R plot?
THe following codes works for me, but, if I use the number, it does not
work.
plot(svm.auc, col=2, main="ROC curves comparing classification performance\n
of six machine learning models")
legend(0.5, 0.6, c(ns, nb, nr, nt, nl,n
On 2010-05-19 12:05, Shi, Tao wrote:
Ivan,
Try this:
eval(parse(text=paste("save(file", i, ", file=\"file", i, ".RData\")", sep="")))
...Tao
Or just use 'list=' like this:
for (i in 1:4) {
temp <- data.frame(a=(i+1):(i+10), b=LETTERS[(i+1):(i+10)])
filename <- paste("file", i, sep="")
Hi Folks,
I want to export a dataframe's column classes to a list so that I can
reinstantiate the dataframe from a CSV file in the future. (I know
about save(), which I'm using in addition to this).
what I want to do is the following:
write.csv(myframe);
col_classes = get_col_classes(myf
Dear list,
I'm facing the following problem :
A cox model with my sex variable interacting with several continuous variables
: cph(S~sex*(x1+x2+x3))
And I'd like to make a nomogram. I know it's a bit tricky and one mights argue
that nomogram is not a good a choice...
I could use the parameter int
Hi R gurus,
I'm getting the following error when trying to build and install an R package:
Error in untar2(tarfile, files, list, exdir) : unsupported entry type ‘x’
I build the package like so:
R --no-init-file CMD build mypackage
Then try to install it:
sudo R --no-init-file CMD INSTALL mypack
On May 19, 2010, at 12:14 PM, Hilmar Berger wrote:
Hi all,
This occurred in R-2.11.0 (WinXP).
The R-help page of .[ says that:
"Character indices can in some circumstances be partially matched (see
pmatch) to the names or dimnames of the object being subsetted (but
never
for subassignment
On 19/05/2010 12:14 PM, Hilmar Berger wrote:
Hi all,
This occurred in R-2.11.0 (WinXP).
The R-help page of .[ says that:
"Character indices can in some circumstances be partially matched (see
pmatch) to the names or dimnames of the object being subsetted (but never
for subassignment). Unlike S
On Wed, 2010-05-19 at 14:59 -0400, Godavarthi, Murali wrote:
> Hi Gavin, Steve
>
> Sorry, please use the below dput for mytestdata. Thanks!!
No need. The issue I think issue is due to the number of levels in the
factor. IIRC correctly, I've been bitten by this before where the
newdata object cont
On 05/19/2010 01:39 PM, Ben Bolker wrote:
Frank E Harrell Jr Vanderbilt.Edu> writes:
Please read the large number of notes in the e-mail archive about the
invalidity of such modeling procedures.
Frank
I'm curious: do you have an objection to multi-model averaging
a la Burnham, Anderso
On 19/05/2010 10:34 AM, trubilar wrote:
Hello Everyone, I am quite new in R software.
I am doing a grofit to study growth.
I have a matrix of time with 10 weeks and 26 individuals ie 10 columns x 26
rows
and I have a data.frame with 3 columns: 1 for Individual Id (which repeats
it self, since I h
Thank you for the correction. I was thinking about the difference of using a
variable with a smoother, and comparing that to a model with that variable
without smoother. I should specify that I mostly use thin plate regression
splines.
If the spline itself is not deviating from linearity, you get
A couple of years ago, I wrote a function for doing this. It can be
found in the following file:
http://pegasus.cc.ucf.edu/~xsu/CLASS/STA4164/mt4-2009.doc
I also pasted a copy below. Hope you find it useful. -XG
#
# ALL POSSIBLE REGRESSIONS
#
# Th
Dear Simon,
Thank you very much! A colleague of mine directed me towards the
extract.lmeDesign function of the RLRsim package, but that only gets me the
basis functions in function of the model I specified. Your solution is what
I was looking for.
Kind regards
Joris
Just for completeness : This
Hi Gavin, Steve
Sorry, please use the below dput for mytestdata. Thanks!!
structure(list(imurder = 0, itheft = 0, irobbery = 0, iassault = 1,
idrug = 0, iburglary = 0, igun = 0, psych = 0, Freq = 0, priors =
58, firstage = 19, intage = 19, sex = structure(1, .Label = "1", class =
"factor"), r
Hi Tim,
Here is a rather clumsy way of going about your task:
# -- example code -
func.getY.getX.return.lm <- function(Y, X.matrix , lm.id.vec)
{
# gets a Y, a vec of T/F and a X.matrix
# performs lm
# and returns output
potential.X.size <- length(lm.id.vec) + 1
lm.data <- data
Hello,
I am looking to generate propensity score in R using ps() command. My
question comes from how to include categorical variables in the equation to
generate propensity score. How should I include reference category in the
estimation? Should I drop the reference group manually before running t
Hi Steve,
Thanks so much for your inputs! I was actually trying to implement your
suggestions, I get the below error (please see the results of predict
command below).
What we are trying to do is to feed in values for about 23
characteristics of an individual, and use the randomForest() function
Hi Steve, Gavin
This is being really helpful. I've pasted the working data, and my test
data below after running the str command on both of those variables. The
working sample actually contains about 300 records, hence I am not able
to paste the whole data here. However my sample test data which I
Basically, I haven't gotten around to adding a contrast.lmer methods
yet. It's only my list, but in the short term, you are welcome to
contribute code to the package.
There have also been discussions on this list about the
appropriateness of such contrats with nonlinear models, but I need to
imple
Hi all,
This occurred in R-2.11.0 (WinXP).
The R-help page of .[ says that:
"Character indices can in some circumstances be partially matched (see
pmatch) to the names or dimnames of the object being subsetted (but never
for subassignment). Unlike S (Becker et al p. 358)), R has never used
parti
Hello Everyone, I am quite new in R software.
I am doing a grofit to study growth.
I have a matrix of time with 10 weeks and 26 individuals ie 10 columns x 26
rows
and I have a data.frame with 3 columns: 1 for Individual Id (which repeats
it self, since I have 10 values for each individual correpo
Hi Joris,
We're using mgcv.
We have data on abundance of groupers on line transects that have the same
legth. My coworker has selected a bunch of variables and he has calculated
them in terms of total area in different sizes of buffers around the
centroid of the transect. He has run gam models
All -
Below are samples of the data, a description of my approach and the
work I've done so far. My goal is two-fold, first learn more about R
and the creation of heatmaps; second, to create a heat map where the
vertical access is a series of days and the horizontal is the hour of
a day with the c
> ## Create a sample data.
> data <- data.frame(father.id = letters[1:5],
+ diagnosis = sample(c(100,200,300,340),5,replace=TRUE),
+ diagnosis1 = sample(c(100,200,300,340),5,replace=TRUE),
+ diagnosis2 = sample(c(100,200,300,340),5,replace=TRUE))
> data
father.id diagnosis diagnosis1 diagnosis2
On Wednesday 19 May 2010 15:08, Joris Meys wrote:
> Dear all,
>
> for demonstration purposes I want to display the basis functions used by a
> thin plate regression spline in a gamm model. I've been searching the help
> files, but I can't really figure out how to get the plots of the basis
> func
Frank E Harrell Jr Vanderbilt.Edu> writes:
>
> Please read the large number of notes in the e-mail archive about the
> invalidity of such modeling procedures.
>
> Frank
>
I'm curious: do you have an objection to multi-model averaging
a la Burnham, Anderson, and White (as implemented in the
Hi Ivan,
How about this?
i <- 1:4
sapply(i,
function(i){
x <- data.frame(a=(i+1):(i+10), b=LETTERS[(i+1):(i+10)])
save(x, file = paste("file", i, ".rda", sep=""))
}
)
HTH,
Jorge
On Wed, May 19, 2010 at 10:56 AM, Ivan Calandra <> wrote:
> Dear users,
>
> My problem concerns save() within a f
> We are analizing the relationship between the abundance of groupers in line
> transects and some variables. We are using the quasipoisson distribution.
> Do we need to include the length of the transects as an offset if they all
> have the same length??
--- not just for fitting, I suppose: altho
Changbin -
Please take a look at the help file for the function
"palette", which is how R maps col= numbers to colors.
Also look at the default output of that function:
palette()
[1] "black" "red" "green3" "blue""cyan""magenta" "yellow"
[8] "gray"
You might get better result
On Wednesday 19 May 2010 15:29, Joris Meys wrote:
> Could you specify the package you use? If it is mgcv, this one centers your
> variables before applying the smooths. That's something to take into
> account when comparing different models.
--- er, actually it only centres variables in this way fo
plot(svm.auc, col=2, main="ROC curves comparing classification performance\n
of six machine learning models")
legend(0.5, 0.6, c(ns, nb, nr, nt, nl,ne), 2:6, 9) # Draw a legend.
plot(bo.auc, col=3, add=T) # add=TRUE draws on the existing chart
plot(rf.auc, col=4, add=T)
plot(tree.auc, col=5, add=T
Dear Mohan,
Is this what you want?
rbind(data, c("Total",apply(data[,-1], 2, sum, na.rm=TRUE)))
If your State column is a factor, it will return a warning that NAs
were introduced (but the totals will still be at the bottom). If
State is class character, then that row will have a name "Total" a
Am 19.05.2010 20:08, schrieb Sabatier, Jennifer F. (CDC/OID/NCHHSTP):
I do know that you can't actually have unequal column lengths. The
reality is I am creating a pretty table to export to EXCEL and it
Now that I have Stefan's solution, which turns all the un-needed info
into NAs I can use NAT
Hi Ista,
Thanks a lot for your response. It looks like the solution Stefan
suggested is the same as you are and it works great.
I do know that you can't actually have unequal column lengths. The
reality is I am creating a pretty table to export to EXCEL and it
contains some summary statistics
Ivan,
Try this:
eval(parse(text=paste("save(file", i, ", file=\"file", i, ".RData\")", sep="")))
...Tao
- Original Message
> From: Ivan Calandra
> To: r-help@r-project.org
> Sent: Wed, May 19, 2010 7:56:44 AM
> Subject: [R] save in for loop
>
> Dear users,
My problem concerns sav
SWEET!
That's EXACTLY what I need. Thanks!
I can now just use NAToUnknown to turn the NA into blanks.
Thanks a lot!
Jen
-Original Message-
From: Stefan Grosse [mailto:singularit...@gmx.net]
Sent: Wednesday, May 19, 2010 1:53 PM
To: r-help@r-project.org; Sabatier, Jennifer F. (CDC/OI
Hi Jen,
You cannot have a dataframe with unequal column lengths, so you have two
options (well maybe more, but two that come to mind): set the values to
missing instead of deleting them, or store your data in a list instead of a
data frame.
For option 1 (recommended) all you need is
mydf[-1, 6]
Am 19.05.2010 19:36, schrieb Sabatier, Jennifer F. (CDC/OID/NCHHSTP):
mydf<-data.frame(matrix(rnorm(102), ncol=6)
you mean something like:
mydf[2:length(mydf[,1]),6]<-NA
hth
Stefan
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Dear All,
I have data some thing like this:
State Jan Feb Mar Apr May Jun AAA 1 1 0 2 2 0 BBB 1298 1195 1212 1244
1158 845 CCC 0 0 0 1 2 1 DDD 5 11 17 15 10 9 EEE 18 28 27 23 23 16 FFF
68 152 184 135 111 86
I want to sum all the column(Jan, Feb, Mar ...) and have to merge the total
at
Hi R-Help,
I am a new R user. I have used SAS for many years (just FYI on what I
am used to and possible obstacles it presents).
I have a data frame:
mydf <-data.frame(matrix(rnorm(102), ncol=6)
I would like to be able to delete ALL the information in column 6 for
rows 2 through r, where r=#ro
On 2010-05-19 9:02, Marius Hofert wrote:
Hi,
How can I specify the strip text in the xyplot below?
I also tried to work with strip.names=c("TRUE","TRUE"), but that did not work.
Cheers,
Marius
library(lattice)
x<- 1:10
y<- cbind(1:10,-(1:10))
xyplot(y[,1]+y[,2]~x,outer=TRUE,strip=function(va
I think the answer is clear from the error: R thinks the type of data in
the components of 'testmurali' do not match those of the data used to
fit the original randomForest.
The OP should go back to his model fitting code and do
str(obj)
where 'obj' is the name of his original data object used t
I do know it, but wanted to spend a little more effort to make generalized
function for this type of plot.
Thanks
--- On Tue, 5/18/10, Shi, Tao wrote:
> From: Shi, Tao
> Subject: Re: [R] automate curve drawing on nls() object
> To: "array chip" , r-help@r-project.org
> Date: Tuesday, May 18,
This is a reminder that the regular registration deadline for the useR!
2010 conference, July 21-23 (http://www.R-project.org/useR-2010) is today.
After today, late registration will be possible until June 20th.
The link to submit registration information is:
http://www.R-project.org/useR-2010/reg
Hi Katharine,
Very cool idea!
I republished your call on my blog:
http://www.r-statistics.com/2010/05/user-2010-is-looking-for-a-t-shirt-design/
And encourage people who will create such a design to link to it (for
example by posting about it here on the list), and also to tag it (if they
put it o
I have the following problem with outputting multilingual data to a file.
I get (except for Korean) what I expect as result in the RGui, but when I
use sink() to output to a text file loose the characters in the foreign
languages.
I post a small example below. Since I am not sure how well my ema
Yes, and many of us also know why doing so is a bad idea.
This has been discussed before, if you search the archives you can find the
full discussion showing how, why not, and better approaches.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.o
Hi Murali,
I'm sorry, but you're making this too difficult to provide any help.
Describing what your data structures are and contain is too tedious to
follow, and end up being rather ambiguous anyway.
My first guess: by your error message, perhaps the columns of the data
to predict on are differe
On Wed, 2010-05-19 at 10:10 -0400, Steven Lembark wrote:
> Any reference to the appropriate documentation would
> be most appreciated.
>
> I am using the TSP module for clustering of HIV
> genetic sequences. The distances have already been
> computed and available as either upper-triangular
> or s
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