similar to: why function 'sum' within 'aggregate' need an 'index'?

Dear List, I'm trying to typeset some chemical ions in axis labels. These have both super and subscript components, and for some, I need a superscript "-". In LaTeX I might use $NO_3^-$ to do the typesetting, but I'm having a problem getting the correct invocation for expression: > expression(NO^{-}[3]) Error: syntax error, unexpected '}' in

Hi, people I am just new to R, when writing my loop functions, I meet a problem. There are some data frames, their names is randomized, ( e.g. a1,b3,c7, etc), what should I write it when I want to see them printed together in a loop function? I have tried : > for ( df in 'a1','b3','c7') { + print(print(df)) + } the

hi, people How can we compare two probit models brought out from the same data? Let me use the example used in "An Introduction to R". "Consider a small, artificial example, from Silvey (1970). On the Aegean island of Kalythos the male inhabitants suffer from a congenital eye disease, the effects of which become more marked with increasing age. Samples of islander males

I am not understanding something about generating PNG plots. I have tried several ways to obtain something other than a transparent background, but nothing I've done seems to change the background. For example: dev.print(png, width=800, height=600, bg='red', filename='example.png') which I thought would give a red background, simply gives the same transparent background I

Dear DevelopeRs Several functions in a package of mine have complex returned objects that are lists within the returned list. I wish to document each of the components of these sublists. If I do this within a \value{} section and nest \item within an existing \item, I get indented R-help sections in the standard help view (eg as shown by ?foo in Linux), but not in the PDF. For example:

there is a data frame, like this: > df aa bb 1 a 20.27802 2 b 22.10664 3 c 21.33470 4 a 22.32898 5 b 19.73760 6 c 20.38979 .....(suppressed) what I want to do is to copy the data frame's rows into different data frames according to the levels of 'aa' column, > df.a <- df[df[,1]=='a',] ; df.b <- df[df[,1]=='b',] ; ....

On Wednesday 27 December 2006 06:00, r-help-request at stat.math.ethz.ch wrote: > jingjiangyan I agree, you can use 'assign'. To be more explicit, you could use the following function. jingjiangyan <- function(formula, data) { m <- match.call() "%,%" <- function(x,y)paste(x,y,sep="") d.nm <- as.character(m$data) y.nm <-

Help-Rs   As someone who is newer to R and trying to make the transition from Access into R, there is a frequetnly used function that I'd like to try and duplicate in the R world.  It involved creating an aggregate table of the top (n)  orders for an item by sum of cost over a select period of time.   So, take the following example :   group <- c(rep(1,10), rep(2,10), rep(3,10)) product

Hi I am writing a bunch of functions that take two, three or four arguments. These functions operate on vectors of the same length; but I want the function to behave sensibly if one or more arguments are scalars. "+" does this for two arguments: "+"(1:10,3) # interpreted as "+"(1:10,rep(3,10)) But my functions can take more arguments. Say f() takes three:

https://bugzilla.mindrot.org/show_bug.cgi?id=1598 Summary: ssh hangs up on exit Product: Portable OpenSSH Version: 4.3p2 Platform: All OS/Version: Linux Status: NEW Severity: major Priority: P2 Component: ssh AssignedTo: unassigned-bugs at mindrot.org ReportedBy: beststory at yandex.ru

I have encountered the following behaviour in lattice in 2.6.1 (and 2.4.0) which differs depending upon the type you use. I believe the numeric behaviour to be correct, and the POSIXct behaviour to be in error. When the x data and x axis in a lattice graph are POSIXct, and when using scales$x$at and scales$x$labels to add custom labels: If the first visible at value is not the first

Dear all, I'm looking to create a formula within a function to pass to glmer() and I'm having a problem that the following example will illustrate: library(lme4) y1 = rnorm(10) x1 = data.frame(x11=rnorm(10), x12=rnorm(10), x13=rnorm(10)) x1 = data.matrix(x1) w1 = data.frame(w11=sample(1:3,10, replace=TRUE), w12=sample(1:3,10, replace=TRUE), w13=sample(1:3,10, replace=TRUE)) test1 <-

/dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. Using /proc/cpuinfo to get processors count is more portable. Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> --- tools/virtio/ringtest/run-on-all.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tools/virtio/ringtest/run-on-all.sh b/tools/virtio/ringtest/run-on-all.sh index

/dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. Using lscpu to get processors count is more portable. Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> --- v2: use lspcu instead of /proc/cpuinfo as per Cornelia's suggestion tools/virtio/ringtest/run-on-all.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git

/dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. Using lscpu to get processors count is more portable. Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> --- v2: use lspcu instead of /proc/cpuinfo as per Cornelia's suggestion tools/virtio/ringtest/run-on-all.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git

/dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. Using lscpu to get processors count is more portable. Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> --- v3: simplify by using lscpu -p=cpu v2: use lspcu instead of /proc/cpuinfo as per Cornelia's suggestion tools/virtio/ringtest/run-on-all.sh | 4 ++-- 1 file changed, 2 insertions(+), 2

/dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. Using lscpu to get processors count is more portable. Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> --- v3: simplify by using lscpu -p=cpu v2: use lspcu instead of /proc/cpuinfo as per Cornelia's suggestion tools/virtio/ringtest/run-on-all.sh | 4 ++-- 1 file changed, 2 insertions(+), 2

I have a multiple text files, separated by a single space, that I need to combine into a single data.frame. Below is the track I'm on using list.files to capture the names of the files and then lapply with read.table. But I run into problems making a usable dataframe out of the data. #Creating example data in similar format to data I have sub <- rep(1,10) trial <- seq(1,10,1) size

On Wed, 4 May 2016 09:12:56 +0300 Mike Rapoport <rppt at linux.vnet.ibm.com> wrote: > /dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. > Using /proc/cpuinfo to get processors count is more portable. > > Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> > --- > tools/virtio/ringtest/run-on-all.sh | 4 ++-- > 1 file changed, 2

On Wed, 4 May 2016 10:59:53 +0300 Mike Rapoport <rppt at linux.vnet.ibm.com> wrote: > /dev/cpu is only available on x86 with certain modules (e.g. msr) enabled. > Using lscpu to get processors count is more portable. > > Signed-off-by: Mike Rapoport <rppt at linux.vnet.ibm.com> > --- > v2: use lspcu instead of /proc/cpuinfo as per Cornelia's suggestion >