similar to: How to quit R script & return to R prompt

Hello all: I'm trying to use the following code to get commands, comments and results to a .txt file. It only appears to capture comments. When I comment those out with #, it creates a NULL file. Someone seemed to have a similar problem with a mac GUI (https://stat.ethz.ch/pipermail/r-help/2010-September/253177.html) but the result seemed to be ambiguous. Is there a work-around?

Hi, everyone, I try to run as follows: Z>library("RODBC") Z>cnct<-odbcConnectExcel("Forbes2000.xls") Z>cnct RODB Connection 1 Details: case=nochange DBQ=C:\Program Files\R\R-2.5.0\Forbes2000.xls DefaultDir=C:\Program Files\R\R-2.5.0 Driver={Microsoft Excel Driver (*.xls)} DriverId=790 MaxBufferSize=2048 PageTimeout=5 Z>sqlQuery(cnct, "select

I wanted to report this issue here so others may not find themselves alone and as the author is apparently active on the list. I havent done an exhaustive test by any means, cause I dont have time. But here's a small example. Apparently the "ns" argument is the one that is killing it. I've gotten several different segfault messages, the only other one I remember said "out

Hi... I'm working through the book, A Handbook of Statistical Analyses using R by Everitt, and I'm trying to do the following (p. 19 of his book): boxplot(log(marketvalue)~country, data = subset(Forbes2000, country %in% c("United Kingdom","Germany","India","Turkey")), ylab="log(marketvalue",

I have two problems where I've come up with some code that will do the analysis that I want, but it looks pretty clumsy. In the first case, I calculate the variance on five different columns for each of 14 clusters and get them into one matrix. I get the job done, but I would have thought that it could be done in one or two lines, not six, and be generalized so that it didn't matter how

Hi, Last week my class conducted an experiment by putting out clay caterpillars to look at the effects of urbanization, color, and location on caterpillar predation. There were two sites (urban, rural), three colors (green, yellow, red) and two locations at each site (edge, interior). The entire data set is below. I've checked out the MASS book, Dalgaard's book, and the R-help archives

Dear all, Lets say I have several data frames as follows: > set.seed(42) > dates <- as.Date(c("2010-01-19", "2010-01-20")) > times <- c("09:30:00", "11:30:00", "13:30:00", "15:30:00") > shows <- c("Red Dwarf", "Being Human", "Doctor Who") > > df1 <- data.frame(Date = dates[1],

Hello, I have a df, pp, with five variables: > nobs(pp) q10_1 q10_2 q10_3 q10_4 actcode 1620 1620 1620 1620 1620 I want to create a loop to run four xtabs (the first four variables above by the fifth) and then store the results in a matrix. Below I make my intent clear by showing the output of one xtab which is inserted into a matrix. > a <- xtabs(q10_1 ~

Hello, I have a dataframe (var_1, var_2, ..., var_n) and I would like to export summary statistics to Latex in the form of a table. I want specific summary statistics by crossing numerous variables 2x2 AT ONCE. In each cell I would like sometimes to have the median (Q1 - Q3), or frequency and proportion, etc. CrossTable, xtab, etc... do not allow for multiple 2 by 2 crosstabulation. The table

I'm trying to find a more elegant way of doing this. What I'm trying to accomplish is to count the frequency of letters (major / minor alleles) in a string grouped by the factor levels in another column of my data frame. Ex. > DF<-data.frame(c("CC", "CC", NA, "CG", "GG", "GC"), c("L", "U", "L",

Hi! I'm running a zero-inflated negative binomial regression on a large (n=54822) set of confidential data. I'm using the code: ZerNegBinRegress<-zeroinfl(Paper~.|., data=OvsP, dist="negbin", EM=TRUE) And keep getting the error: Warning message: glm.fit: fitted probabilities numerically 0 or 1 occurred I've done enough reading about this error to realize that I have

Hello, after upgrade from CentOS 5 to 5.1 I see the following error in /var/log/messages: 'rpc.idmapd[2330]: main: open(/var/lib/nfs/rpc_pipefs/nfs): No such file or directory' The directory exists with the permissions dr-xr-xr-x 2 root root 0 Dec 7 10:21 nfs So is this an owner/permisson problem? Should /var/lib/nfs/rpc_pipefs/nfs be owned by rpcuser? # ls -al /var/lib/nfs/ total

I am having trouble generating a graph. I want to know the % of respondents who answered that they "strongly agree" or "agree" the "America owes R's ethnic group a better chance" (BTTRCHNC) and I want to organize it by racial group (RACESHRT). "BTTRCHNC" is organized ordinally from 1 through 5 with 1=Strongly Agree, 5=Strongly Disagree

Hi, I have a problem that was already discused in the german archlinux forum and couldn't be solved. Because of this I was asked to use the rsync mailing list. So here I am ;b I'm using the following script to backup my data to a Network Attached Storage that has an ext3 formated hdd that is mounted via NFS script: http://pastebin.com/f6b7115c9 This script works fine for /home but

Before I reinvent the wheel, I have need for a relatively straightforward crosstabulation (2 x n) function. I know that R has table(), ftable(), xtabs(), and summary(xtabs()), but none of these produce a fully "tricked" out cross-tabulation with marginal totals, expected cell frequencies, and an array of statistics about the contingency table. Is there a more complete (something

Karsten, I have a function which might be too simple, but could be modified to what you requested. It is called "xtab" and appears to run okay on my version of R (0.61.2). The tar.gz file includes text coding for "xtab" and "padding" which is called. I set up empty functions and read the text code into the editor, although there is probably a better way. Hope it

Dear R users I?m aware that the package ?modest? is useful to find the mode in an array. However, I?d like to know if someone has translated the ?mode? function built-in in MATLAB into R language. This function finds the most frequent value in an array (http://www.mathworks.com/help/techdoc/ref/mode.html). Best Fer

Hi jpm miao, You can get CSV files that can be imported into Excel like this: library(prettyR) sink("excel_table1.csv") delim.table(table(df[,c("y","z")])) sink() sink("excel_table2.csv") delim.table(as.data.frame(table(df[,c("y","z")])),label="") sink() sink("excel_table3.csv")

-- apologies if this is a dup - i got a bounce saying the message was unprocessed. Is there a straightforward way to get a table with percents in the cells rather than counts? I've looked at table, ftable, xtabs, and ctab, which did the conversion but returned the results in a single row without labels. any suggestions are appreciated. thank you.

r-gurus, I couldn't find an answer to this and after an hour or so of trying all types or ways to do this, I've given up for now. I'm having trouble getting the results from xtabs to generate "unsorted" factors. I've generated a sample data.frame I want to create a table from, using xtabs, and the results are presented below, > temp treatment itpa qmd