similar to: Creating ODS RTF-style output in R XXXX

Hello everyone, What is the simplest, most RELIABLE way to import data from MS EXCEL (.xls) format to R? In the past I have used the read.xls() function from the xlsReadWrite package, however, I have been wrestling with it all afternoon long with no success. I continue to receive the following error message: > {widge<-read.xls("F:\\Classes\\Z1.Data\\stat.3010\\WidgeOne.xls", +

Hi everyone, Any ideas on troubleshooting this memory issue: > d1<-read.csv("arrears.csv") Error: cannot allocate vector of size 77.3 Mb In addition: Warning messages: 1: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 2: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see

Hi everyone, How does one place an object name (in this case a vector name) into another object (while essentially masking the values of the first object? For example: > JOBSAT<-rnorm(40) > > CI<-function(x,alpha){ + result<-cbind(x,mean=mean(x),alpha) + print(result) + } > CI(JOBSAT,.05) I want this to return: Variable mean alpha JOBSTAT 0.02844131 0.05

Hello everyone, Is it possible to specify a 2 line y-axis label on the same lef-hand side y-axis? I am using the \n regular expression, but only the 2nd line appears (I assume the 1st line is printed off the page...) plot(PRE_SHB,R1, main="Figure 1.1: Scatterplot of Residualized Post Score", xlab = "Pre Score", ylab = "Residualized Post Score \n (Adjusted for Age

Hi everyone, I have the following: sqldf("select Premie,count(tpounds) N,avg(tpounds) Avg_Weight, stddev_samp(tpounds) StdDev from children group by Premie having !is.na(Premie)") sqldf() does not like the !is.na(Premie) specification. How does one exclude a "missing" group in an aggregated query using sqldf()? Thanks! Dan [[alternative HTML version deleted]]

Hi everyone, I understand the process of obtaining the internal integer codes for the raw values of a factor (using as.numeric() as below), but what is the best way to obtain these codes for the levels() of a factor (since the as.numeric() results don't really make clear which code maps to which level)?

Hello everyone, I have the following call to sapply() and error message. Is the most efficient way to deal with this to make sum(!is.na(x)) a function in a separate line prior to this call? If not, please advise. N.Valid=sapply(x,sum(!is.na(x))) Error in match.fun(FUN) : 'sum(!is.na(x))' is not a function, character or symbol Thanks! Dan [[alternative HTML version deleted]]

Hi everyone, What is the easiest way to remove the word Average and strip leading and trailing blanks from the character vector (d5.Region) below? .nrow.d5. d5.Region 1 1 Central Average 2 2 Coastal Average 3 3 East Average 4 4 Metro East Average 5 5 Metro North Average 6 6 Metro South Average 7

Hello everyone, I am writing my own function to return the column index of all variables (these are currently character vectors) in a data frame that contain a dollar sign($). A small piece of the data look like this: can_sta can_zip ind_ite_con ind_uni_con AL 36106 $251,895.80 $22,874.43 AL 35802 $141,373.60 $7,100.00 AL 35201 $273,208.50 $18,193.66 AR 72404 $186,918.00 $25,391.00 AR

Hello everyone, I have the following factor: levels(pp_income) [1] "" "1" "2" "3" "4" "5" "6" "7" [9] "8" "9" "Renter" I want to subset so that only values 1:9 are included. I have the following: > income<-pp_income[pp_income %in%

Hello everyone, I use Bob Muenchen's approach for reading in "in-stream" (to use SAS parlance) delimited data within a script. This works great: mystring <- "id,workshop,gender,q1,q2,q3,q4 1,1,f,1,1,5,1 2,2,f,2,1,4,1 3,1,f,2,2,4,3 4,2, ,3,1, ,3 5,1,m,4,5,2,4 6,2,m,5,4,5,5 7,1,m,5,3,4,4 8,2,m,4,5,5,5" mydata <- read.table( textConnection(mystring),

Hi everyone, I am attempting to use the apply() function to obtain the mode and class of each column in a data frame, however, I am encountering unexpected results. I have the following example data: v13<-1:6 v14<-c(1,2,3,3,NA,1) v15<-c("Good","Bad",NA,"Good","Bad","Bad")

I would like to open OpenOffice (LibreOffice) .ods files in R. I've tried the ROpenOffice package from omegahat, but unfortunately, the read.ods() function attempts to use the values of the first column in a worksheet as row names, and thus does not allow duplicates in there (which, even more unfortunately, occur in my files). Also, the function does not allow to forward any other

Hi everyone, Is it possible to obtain the 1st & 3rd quartiles & the median in a sqldf() select statement? If so, can you please provide the summary fn code? Thanks! Dan [[alternative HTML version deleted]]

Hello everyone, Can anyone suggest a decently documented (with good examples in the documentation) R package/function that performs segmentation (cluster, mixture modeling) of a population using both continuous and categorical input variables? Thank you, Dan [[alternative HTML version deleted]]

Hi, i want to import data from .ods and .xls files in R on a linux system. Seems it was a faq in the past, but i found only solutions for Windows. Is there a handy solution for linux? The best would be something like mytab <-read.ods(...) Any hints? Thanks a lot for reading so far, -- Jonas Stein <news at jonasstein.de>

Hello All, I 'm trying to plot R graph in landscape orientation in a .rtf file. i 'm using library(rtf) for this. do we have any option in addPlot() function to rotate the orientation of the rtf file? Thank you, Deepthi BM PGDB-10-10-04 Institute of Bioinformatics and Applied Biotechnology Biotech Park, Electronic City, Phase I, Bengaluru-560100

Hello everyone, What is the most efficient & simpliest way to convert all components of a list to separate columns in a matrix? Is there an easy way to programmatically "pad" the length of the resulting shorter character vectors so that they can be easily combined into a data frame? I have the following code that stores the 2 compoents (of differing lengths) in the same character

I have been looking for a way to write R-generated reports to Microsoft Word documents. In the past, I used the package R2wd, but for some reason I haven't been able to get it to work on my current set up. R version 2.15.0 (64-bit) Windows 7 Enterprise - Service Pack 1 Microsoft Office Professional Plus 2010 - Word version 14.0.6123.5001 (32-bit) I gave the package

Hello everyone, I am attempting to write a function to count the number of non-missing values of each column in a data frame using the sapply function. I have the following code which is receiving the error message below. > n.valid<-sapply(data1,sum(!is.na)) Error in !is.na : invalid argument type Ultimately, I would like for this to be 1 conponent in a larger function that will produce