similar to: Still need help w/ making a table

Sorry if this is obvious, but my S skills aren't great and I haven't been able to find it documented anywhere. I want to write a new function for use with lme objects; the function will simply calculate an ICC (aka "rho") for each level of a mixed-effects model. What I need for this is pretty simple: (c(var1..varn, residual)) / sum(c(var1..varn, residual)) where var1..varn

Dear r-help, I have a radar data file in the following format: nrays for (1 to n_rays) { some_data_info for (1 to n_gates) { some_data_info} } N_rays=360 and n_gates=950 The data looks something like: Header line1 Ray1 header gate1 var1, var2,.....,varN ... gate950 var1, var2,.....,varN Ray2 header gate1 var1, var2,.....,varN ...

I have the following function: Myfunc <- function(var1,var2,.....,varN) { ..... } In the above function I have a variable number of parameters (N>2). How can I count how many parameters have been entered? Any help appreciated Thanks Arno

Javier Muchas gracias por su respuesta Aunque no está funcionando, pues si ejecuto: EncDTE1<- t.EncDTE1[ !is.na(t.EncDTE1$Var1),] obtengo Var1, Var2, Var3,...Varn con datos "texto", NA, NA....NA Pero al ejecutar EncDTE1<- t.EncDTE1[ !is.na(t.EncDTE1$Var2),] obtengo Var1, Var2, Var3,...Varn con datos NA,"texto", NA....NA Estoy tratando de dar la vuelta con el loop

Hi friends, I have a matrix with following format. group var1 var2 .......varN c1 group1 1.2399 1.4990....-1.4829 c2 group4 0.8989 0.7849.....1.8933 ... ... c100 group10 ..... I want to draw a profile plot of each condition c1 to c100, which rows in above matrix and each line representing a row should be uniquely colored according to the group(1 to 10). I think this is simple task

Dear R Help group I need to run a command line script from within R session. I am not clear how i can acheive this. I tried shell and system function, but i am missing something critical.can someone provide help? My intention is to create a pdf file of a plot in R and then attach existing files from my system as attachment into the newly created pdf file. Any help would be greatly appreciated..

Dear all, How could I use variables in a loop that their names are in a vector? For example: aaa <- 1:10 bbb <- aaa*2 ccc <- aaa+bbb varn <- c("aaa", "bbb", "ccc") m <- rep(NA, 3) for (i in 1:length(varn)) m[i] <- mean(varn[i]) # wrong thanks in advance Juli -- "Wars do not solve problems, wars generate even more problems"

Hi everyone, What is wrong in below asterisk application? The output should be content of field booth_status from table booths: [extension-status] exten => _X.,1,MYSQL(Connect connid 127.0.0.1 root password my-extensions) exten => _X.,n,MYSQL(Query allow_call ${connid} SELECT extension_status FROM mytable WHERE extension=${CALLERID(num)} ORDER BY id DESC LIMIT 1) exten =>

Below is code that introduces a list comprehension syntax into R, allowing expressions like: > .[ sin(x) ~ x <- (0:11)/11 ] [1] 0.00000000 0.09078392 0.18081808 0.26935891 0.35567516 0.43905397 [7] 0.51880673 0.59427479 0.66483486 0.72990422 0.78894546 0.84147098 > .[ .[x*y ~ x <- 0:3] ~ y <- 0:4] [,1] [,2] [,3] [,4] [,5] [1,] 0 0 0 0 0 [2,] 0 1 2

Hola Consulto por un problema que no consigo resolver. Tengo un dataframe con muchas columnas todas de texto. Cada columna tiene solamente un valor válido y el resto son NAs. También cada fila tiene un único valor válido. Quiero colapsar ese data frame en uno que tenga solamente una fila y todas las columnas. Intenté con loops, while, apply y otros parecidos pero no lo logro El ejemplo del

Hi all, I want to make a contingency table in R. I want to tabulate two variables, one as the independent and second as the dependent variable. The IV has two categories, namely, birth complications, and no birth complications. The frequency of birth complication category is fifty, and the frequency of no birth complication category is 34. The categories and frequencies of DV follows.

I am generating an ftable (by running ftable on the results of a xtabs command) and I am getting the following. ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?Var1? Var2 date ? ? ? ? ? ? ? ? group? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 2007-01-01? ? ? ? ? q1 ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?1? ? 9 ? ? ? ? ? ? ? ? ? ? ?q2 ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?

Hello: What is the most efficient way to change the plotted variable names in mosaic plots in the vcd package? Should one do a separate contingency table first, change the dimension names there and then pass that to mosaic? Or is there a way to do it simply within mosaic. I was thinking something like: mosaic(~var1+var2, labelling_args=list(varnames=c('newvar1', 'newvar2')) Simon

Greetings. I'm having some trouble constructing a contingency table from raw data (actually read in via RPgSQL). Here's the deal: - What I've got: a data frame in the form: Groupcode code1 code2 code3 code4 code5 .. coden where groupcode is one of {P,C,B,S,U,X} and code{1..n} is TRUE or FALSE. code{1..n} are NOT mutually exclusive, so between 0 and n of them can be TRUE. -

Hi, I am trying to assemble a three-way contingency table examining the presence/absence of mussels, water depth (Depth1 and Depth 2) and water velocity (Flow vs. No Flow). I have written the following code listed below; however, when run the glm I get the following message, "Error in model.frame.default(formula = Count ~ MP + wd + wv, drop.unused.levels = TRUE) : variable lengths differ

Hi, I'm an R beginner and I'm struggling with what should be a rudimentary task. My data is along these lines: ID name1 name2 name3 name4 Class 0 1 0 2 Var1 A B C A Var2 B C C A Var3 C A B A etc. I'm using the following: foo <- data.frame(t(read.table("file", header=FALSE))) but of course now it's not using ID, Class, etc. as column names. As you can imagine,

Dear R Users: I'm a STATA user converting to R, and I'd like to be to do the following. #Assign var_1 and var_2 a value 10->var1 20->var2 #Now I'd like to print the values of var_1 and var_2 by looping through var_1 and var_2 in such a manner: while(y<3){ print(var_y) y+1->y } In STATA, the "y" appended to " var_" is called the local variable and

Dear R users, I want to do discriminant analysis on my data. I have successfully followed the discriminant analysis in V & R on the iris data: > ir <- rbind (iris3[,,1],iris3[,,2],iris3[,,3]) > ir.species <- c(rep("s",50),rep("c",50),rep("v",50)) > a <- lda(log(ir),ir.species) > a$svd^2/sum(a$svd^2) [1] 0.996498601 0.003501399 > a.x <-

Hi John, Here is my code practicing. Please give me some advises. Thank you. Wu Gong # Extract the function string f.str <- sub("y~","",exprtext) # Get arglist from the text sp1 <- paste("\\",c(getGroupMembers(Arith),"(",")"),sep="") sp2 <- getGroupMembers(Math) sps <-

Dear list, I'm trying to concatenate the values of two columns but im not able to do it: i have a dataframe with the following two columns: X VAR1 VAR2 1 2 2 1 3 2 4 3 5 4 6 4 what i would like to