similar to: Count values in a dataframe with respect to groups

Hi, I am trying to automate the creation of tables for some simply analyses. There are lots and lots of tables, thus the creation of a user-defined function to make and output them to excel. My problem is that some of the analyses have convergence issues, which I want captured and included in the output so the folks looking at them know how to view those estimates. I am successfully able to do

1. I did not attempt to sort through your voluminous code. But I suspect you are trying to reinvent wheels. 2. I don't understand this: "I've failed to find a solution after much searching of various R related forums." A web search on "error handling in R" **immediately** brought up ?tryCatch, which I think is what you want. If not, you should probably explain why it

You can capture warnings by using withCallingHandlers. Here is an example, its help file has more information. dataList <- list( A = data.frame(y=c(TRUE,TRUE,TRUE,FALSE,FALSE), x=1:5), B = data.frame(y=c(TRUE,TRUE,FALSE,TRUE,FALSE), x=1:5), C = data.frame(y=c(FALSE,FALSE,TRUE,TRUE,TRUE), x=1:5)) withWarnings <- function(expr) { .warnings <- NULL # warning handler will

tryCatch() is good for catching errors but not so good for warnings, as it does not let you resume evaluating the expression that emitted the warning. withCallingHandlers(), with its companion invokeRestart(), lets you collect the warnings while letting the evaluation run to completion. Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Mar 6, 2018 at 2:45 PM, Bert Gunter <bgunter.4567 at

I have data that looks like this: start end value 1 4 2 5 8 1 9 10 0 I want to transform the data so that it becomes: startend value 1 2 2 2 3 2 4 2 5 1 6 1 7 1 8 1 9 0 10 0 ---- I've

Thanks for the replies to my prior question. My problem is that R always says object not found when I enter a variable name into a command. I converted a Stata file into an Rdata file by first loading the foreign package by entering require(foreign) Then I asked R to read the Stata file by entering pol572a1<- read.dta("C:\\alex\\Graduate Coursework\\Pol 572\\pol572a1.dta") So

Hi all, I've been trying for hours, but I do not find a Solution. I want to plot 12 variables over time in separate diagrams in one plot/window using lattice. Two columns, six rows. I used print with the split command, but the graphics are getting really small. Can someone please help me. Following data example: dta = data.frame( day=c(1,2,3,4,5,6,7),

Dear all I would like to ask you if an assignment can be done inside a lapply statement. For example I would like to covert a double nested for loop for (i in c(1:dimx)){ for (j in c(1:dimy)){ Powermap[i,j] <- Pr(c(i,j),c(PRX,PRY),f) } } to something like that: ij<-expand.grid(i=seq(1:dimx),j=(1:dimy)) unlist(lapply(1:nrow(ij),function(rowId) { return

Dear useRs, I'm trying to specify the colour of a factor with ggplot2. The example below gets me close to what I want, but it's missing a legend. Any ideas? Thanks, Thierry library(ggplot2) dataset <- data.frame(x = rnorm(40), y = runif(40), z = gl(4, 10, labels = LETTERS[1:4])) ggplot(data = dataset, aes(x = x, y = y, group = z)) + geom_point(colour = c("red",

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula

Dear R experts, Might be very simple question to ask but would be insightful. As the same story of nested "for loops". following is the code that I am using to get the autocorrelation function of the sample data. I have tried to get rid of for loops but since I am touching R after such a long time that I need to practice more but I need help to revive my skills. I know that apply() or

Hello, I'd like to plot an empirical cumulative distribution function, except instead of the fraction of values < x, I'd like the fraction of values > x. I think this can be done using the ecdf function in {Hmisc}. I installed the package and loaded it. However, when following the example given in the documentation, I get an error: x <- rnorm(100) ecdf(x,what='1-F')

Dear all, Sweave chokes when using "\\" in the path to the Rnw file. Using "/" works fine. The problem is that Eclipse+StatET uses "\\" in the filename. And example of the error, traceback and sessionInfo are given below. Best regards, Thierry > Sweave("Q:\\BMK\\cursussen\\interne_opleiding\\deelnemerslijst.Rnw", syntax="SweaveSyntaxNoweb")

Dear All, I have this script: dat <- data.frame(Month = hstat$Date,C_avg = hstat$C.avg,C_stdev = hstat$C.stdev) ggplot(data = dat, aes(x = Month, y = C_avg, ymin = C_avg - C_stdev, ymax = C_avg + C_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,K_avg = hstat$K.avg,K_stdev = hstat$K.stdev) ggplot(data = dat, aes(x = Month, y = K_avg,

is there a way to reduce the size of pdf files in R: ? compression? lower dpi ? or some other option?

Dear all, I'm writing a package and I would like to reuse the residuals() function. When I use a function which calls the redefined residuals (for my custom class) I get an error (see below). It looks like the wrong method is used. The strange this is, that when it execute the code manually it get no error. Any suggestions? Best regards, Thierry The entire source code is at

x.fun <- function( formula, data ) dotplot( formula, data ) x.grp <- function( formula, groups, data ) dotplot( formula, groups, data ) data( barley ) > x.fun( variety ~ yield | site, data=barley ) # no problem > dotplot( variety ~ yield | site, groups=year, data=barley ) # no problem > x.grp( variety ~ yield | site, groups=year, data=barley ) object "year" not found

Hi, I've three values. What is the best method to choice the lowest values with an if function? example: a = 3 b = 1 c = 5 if (lowest(a,b,c) is a) {........} if (lowest(a,b,c) is b) {........} if (lowest(a,b,c) is c) {........} Thanks, Alfredo

Dear r helpers This may be very elementary question but I couldn't figure out what does the operator %% do? E.g. p <- 100 q <- 200 p%%q [1] 100 q%%p [1] 0 Please guide. Vincy [[alternative HTML version deleted]]

I am looking for an efficient way to find near neighbors... More specifically... I have two sets of points: A & B and I want to find points in set B which are closer to set A than some cutoff (or n-closest) I will appreciate very much any pointers... Ryszard -------------------------------------------------------------------------- Confidentiality Notice: This message is private and may