Displaying 20 results from an estimated 2000 matches similar to: "reshape error in 1.4 (PR#1231)"
2008 Apr 30
2
Summary statistics across factor levels
R users,
I intention is to calculate some summary statistics across factor
levels. I know that in Hmisc package there is a summary function which
produces neat summary statistics when using "cross" option. I would
like to produce similar output with N and Missing columns but produce
a data.frame. Is there any built-in function for that?
#example data
install.packages("Hmisc")
2008 Nov 18
1
reshape question
Hi,
It's probably a simple issue but I'm struggling with that. I'll use the
example shown in the help page.
head(Indometh)
wide <- reshape(Indometh, v.names="conc", idvar="Subject",
timevar="time", direction="wide")
head(wide)
reshape(wide, idvar="Subject", varying=list(2:12),
v.names="conc",
2008 Nov 14
1
Superimposing y-variables in Lattice formulas
Given a data frame of a categorical variable and two continuous
variables, I would like to display one continuous variable against the
other for each value of the categorical variable, all superimposed on
the same plot. For example:
data(Indometh); str(Indometh)
Classes 'nfnGroupedData', 'nfGroupedData', 'groupedData' and
'data.frame': 66 obs. of 3
2007 May 11
3
A simple question regarding plot of nls objects
Hi,
I was trying to run the example of Indomethacin kinetics from the book:
## From Pinheiro/Bates, Mixed-Effects-Models in S and S-Plus,
## Springer, Second Printing 2001, Section 6.2
library(nlme)
plot(Indometh)
fm1Indom.nls <- nls(conc~SSbiexp(time,A1,lrc1,A2,lrc2), data=Indometh)
summary(fm1Indom.nls)
plot(fm1Indom.nls,Subject~resid(.),abline=0)
## ....
the last plot command gives me the
2009 Dec 12
4
simple ts.plot question
*Respected Sir,
I have a simple question regarding plots of time series in R.
I have to plot "conc" against "time" **for each individual and display in
the same panel for the in-built dataset "Indometh" in R.
*
***I have six time series, say subject1.ts, subject2.ts, .............,
subject6.ts.
The observations are taken at an interval of 0.25 hr.
All of the series
2001 May 23
2
help: exponential fit?
Hi there,
I'm quite new to R (and statistics),
and I like it (both)!
But I'm a bit lost in all these packages,
so could someone please give me a hint
whether there exists a package for fitting
exponential curves (of the type
t --> \sum_i a_i \exp( - b_i t))
on a noisy signal?
In fact monoexponential decay + polynomial growth
is what I'd like to try.
Thanks in advance,
2005 Sep 23
2
Strange behaviour of as.Date function
Dear All,
I'm happily extracting data of temperature from an oracle db
under R via RODBC. After manipulating the extracted data I put them
into a data.frame 'dati' which is as follows:
> dati
DATA tm.
UDINE/RIVOLTO tm.TORINO/CASELLE
1 2005-07-01
22.35 23.80
2 2005-07-02 22.70
22.85
3 2005-07-03 23.80
2006 Jul 24
3
random section of samples based on group membership
Hi all,
I have a matrix of 474 rows (samples) with 565 columns (variables).
each of the 474 samples belong to one of 120 groups, with the
groupings as a column in the above matrix. For example, the group
column would be:
1
1
1
2
2
2
.
.
.
120
120
I want to randomly select one from each group. Not all the groups
have the same number of samples, some have 4, some 3 etc. Is there a
function to
2006 Feb 22
1
unused factor levels in reshape
When reshaping a dataframe in which there are unused factor levels in the id variable, I get the following error:
Error in if (!all(really.constant)) warning(gettextf("some constant variables (%s) are really varying", :
missing value where TRUE/FALSE needed
For example,
> df <- data.frame(i = factor(rep(1:5, each = 2)), t = factor(rep(1:2, 5)), x = rep(rbinom(5, 1,
2013 Mar 18
2
melt with complications
## Can someone suggest a simpler expression than either of these, with the
goal
## of taking a long matrix into a wide one with exactly one of the factors
converted to
## columns and all the rest retained as factors. I want something that
generalizes beyond
## the three factors illustrated here.
## Rich
meltTest <- data.frame(A=rep(c("B","C"), each=12),
2007 Aug 23
0
Lost in substitute: nlsList and nlme with dynamic formula
DeaR
I am trying to use a dynamically create formula with nlsList and nlme, but I
cannot get the environment of the string-generated formal to work similarly
to the manually entered one.
Any idea?
Dieter
#-----
library(nlme)
# Pinheiro/Bates p 280
fm1Indom.lis = nlsList(conc~SSbiexp(time,A1,lrc1,A2,lrc2),
data=Indometh)
nlme(fm1Indom.lis,random=pdDiag(A1+lrc1+A2~1))
# works...
# Simulating
2006 Apr 06
1
reshape question
Hi,
I have a data fram like this:
date column1 column2 column3 value1 value2 value3
1-1 A B C 10 5 2
2-1 A B D 5 2 0
3-1 A B E 17 10 7
How can I reshape it to:
date column1 column2 column3 v x
1-1 A B C value1 10
1-1 A B C value2 5
1-1 A B C value3 2
2-1 A B D value1 5
2-1 A B D value2 2
2-1 A B D value3 0
3-1 A B E value1 17
3-1 A B E value2 10
3-1 A B E value3 7
Thx!
Regards,
Richard
2009 Oct 20
0
[LLVMdev] 2.6 pre-release2 ready for testing
Hi Tanya,
> 1) Compile llvm from source and untar the llvm-test in the projects
> directory (name it llvm-test or test-suite). Choose to use a
> pre-compiled llvm-gcc or re-compile it yourself.
I compiled llvm and llvm-gcc with separate objects directories.
Platform is x86_64-linux-gnu.
> 2) Run make check, report any failures (FAIL or unexpected pass). Note
> that you need to
2008 Oct 28
1
How to export text into separate text files
Hello,
I'm producing text from my data.frame using cat function. I would like
to use for loop to export each column in my data.frame into separate
text files. Here is the example code
r <- t(Indometh)
for (i in 1:ncol(r)) {
cat("Some text,", "\n")
cat("\n")
cat("More text, More text, More text")
cat("\n")
2009 Nov 13
2
linear model and by()
Hello R list,
This is a question for anyone who has used the by() command. I would like to
perform a regression on a data frame by several factors. Using by() I think
that I have able to perform this using the following:
> lm.r <- by(master, list(Sectionf=Sectionf, startd=startd), function(x) lm
(tot.c ~ starttime, data = x))
So that is, I would like to perform separate regressions for
2009 Oct 17
12
[LLVMdev] 2.6 pre-release2 ready for testing
LLVMers,
2.6 pre-release2 is ready to be tested by the community.
http://llvm.org/prereleases/2.6/
If you have time, I'd appreciate anyone who can help test the release.
To test llvm-gcc:
1) Compile llvm from source and untar the llvm-test in the projects
directory (name it llvm-test or test-suite). Choose to use a pre-
compiled llvm-gcc or re-compile it yourself.
2) Run make check,
2005 Jun 24
9
R demos
Hi All,
I am currently preparing some form of slideshow introducing R and its
capabilities for some colleagues. The thing will be about 30 mins, and
I'd like to have some "pretty pictures" and some "amazing facts" (I'm
trying to sell, obviously :)).
Can I ask if it's possible to easily retrieve a gross figure of the
number of functions in R considering the
2009 Oct 20
1
[LLVMdev] 2.6 pre-release2 ready for testing
G'Day Tanya,
Is it too late to bring in the following patches to fix some major
brokenness in the AuroraUX tool chain for 2.6?
http://llvm.org/viewvc/llvm-project/cfe/trunk/lib/Driver/Tools.cpp?r1=84468&r2=84469&view=diff&pathrev=84469
http://llvm.org/viewvc/llvm-project/cfe/trunk/lib/Driver/Tools.cpp?r1=84265&r2=84266&view=diff&pathrev=84266
2005 Oct 11
2
Problems with plot function
Hello all R users,
My simulation function works correctly, but I have problems with plot
function. You will find the following code using it.
Thank you for your help
##################################################"
simulation <- function(k, n){
conc <- seq(0,10,by=0.5)
#choixg <- seq(1, length(conc))
choixg <- rep(0,length(conc))
for (i in 1:length(conc)){
choixg[i]
2010 Apr 26
1
finite difference scheme for 2D differential equations
Hello everyone,
I am trying to solve 2D differential equations using finite difference
scheme in R. I have been able to work with the equations with only one
spatial dimensions but I want to extend it to the two dimensional problem.
For example i can simulate one dimensional diffusion using a code like the
following. But I want to write a similar code for,say, a two dimensional
diffusion