similar to: Crosstabs?

Hi all! What is the equivalent R function of SPLUS crosstabs? Thank you. Danar. Stat. Inst. Umea Univ. Umea, Sweden -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

I'm using R0.90.1 on Win98. I'm trying to load an image I saved yesterday but I keep getting the following error: Error in load("C:/temp/245amData.R.RDa") : restore file corrupted -- no data loaded The image is 4,890KB. The image Can anyone tell me how to solve this problem? I'm sure I saved the image correctly. Thanks. Mark Mark J. Lamias Department of Statistics

On Tuesday, March 07, 2000 5:40 PM, Richard Bilonick wrote: >I need to merge several data.frames into one data.frame. In S-Plus I would >use >"merge" but I don't see a merge command in R. What is the best way to >accomplish >this? The easiest way to to this, I think, is as follows: if you have several data frames, dataframe1, dataframe2, . . . , dataframen, you

Does anyone know a command to obtain the expected values of residuals under normality? Better yet, is there a command to perform a correlation test for normality (not Shapiro-Wilk Test)? I've looked everywhere, and can't seem to find how to do this. Thanks. Mark J. Lamias Department of Statistics Department of Political Science Survey Methodology Program/Survey Research Center

I see that feature freeze for a better than ever R has been announced. May I ask if there will be or could be "merge" function for data frames? I believe it would be very nice if this were "centrally" implemented (with regard to my humble steps to writing such a function and the related error and other precautions). I know from VR2R.pdf (courtesy Profs. Venables and Ripley)

Hello all, i think i am to silly. I have installed R 1.7.1 (2003-06-16). Installed some packages like xtables ore xml. I tried out this to installing packages. Then i tried to make a crosstable like i know it from spss. They say in this list that it would be going. I made a table in asci-format, seperated with tabs or blanks and than i use something like this:

Hi, I'm a new R user. I noticed that RKWard has a really nice output when it does crosstabs. It even includes the chi-squared values. However, I obviously can't simply copy this into my standalone R script. Does anyone know the code or a way for me to view the code. Secondly, if I am writing an R script I want to be able to view the output as a pdf even if my function is not a graph,

R-users, I have the following piece of code which I am trying to run on a dataframe (aga2) with about a half million records.  While the code works, it is extremely slow.  I've read some of the help archives indicating that I should allocate space to the p1 and ags1 vectors, which I have done, but this doesn't seem to improve speed much.  Would anyone be able to provide me with advice on

Is there a crosstabs function like the one found in S-Plus available in any of the R addon packages? I can't seem to locate anything other than the chisq.test, which is adequate but does not yield the output customarily required with any journal submission (in my field). (S-Plus, SPSS, SAS all provide examples of the required output). If there isn't such a function already

Does an R package exist that is similar to SAS/Intrnet (http://support.sas.com/documentation/onlinedoc/intrnet/index.html) that will allow users to take parameters passed to it by a web request, produce results and return them to the web-browser in HTML format?  I tried looking through the package descriptions, but didnt' see anything like this.  Any direction or suggestions you could provide

I've been playing around with various table tools, trying to construct a fairly simple cross-tab. It shouldn't be hard, but for some reason it turning out to be (for me). If I want to see how many men and how many women agree with a agree/disagree question (coded 1,0), I can do this: >attach(mydata) >mytable <- table(male, q1.bin) # gender and a binary response variable

Hello there, I'm quite new with R. Does anybody know a true variant in R of the Splus function "crosstabs" to create contingency tables, with the possibility of assigning a weight variable? Thanx Tim -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear Users, I'm a complete novice to R. I need to do a crosstabs in R, but my data is almost completely alphanumeric (with some variables scaled). The Table routine does not seem to accept alphanumeric data. What should I do? Do I need to recode it? How should I do that? Thanks in advance, Wilfred

Suppose you have a dataframe with two factors, but not all the factor levels appear together. For instance: stuff<- structure(list(fac1 = structure(c(2, 1, 2, 2), .Label = c("down", "up"), class = "factor"), fac2 = structure(c(1, 2, 1, 2), .Label = c("left", "right"), class = "factor"), x = c(1, 1, 2, 2), y = c(1, 2, 2, 1)),

I am trying to graph two planes on the same graph using persp(). I can only get one plane to plot at a time. Can someone explain how I can graph two planes on the same graph using persp? I've looked throught the documentation, but cannot find any references to appending a persp plot. Thanks. Sincerely yours, Mark J. Lamias Statistical Consultant

Hi, First, thank you to Duncan Mackay for getting me started processing dates with R. Unfortunately, I need to do a little more than I initially expected. I have 5K lines of data that look like this: ID AREA DATE 0001 Center 2010-10-15 0002 Center 2010-01-02 0003 NorthWest 2010-02-05 0004 SouthWest 2010-05-11 I would like to create a script to create crosstabs like

Does anyone have a piece of code or know how I can use R to generate a table of critical values for the Mann-Whitney (aka Wilcoxon Rank Sum) test. Ideally, I'd like a table that contains the critical values for any two samples of size 3 through 30. I could use Monte Carlo simulation or the normal approximation when n1 and n2 are greater than, 10, but I figured someone may know how to

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

[Delayed and reposted by list maintainer due to not passing through spam filter.. MM] Hello, I am looking for two R-functions that could generate an Output like SPSS. 1. An equivalent function for (SPSS) FREQUENCIES which generate something like this: Valid Cum Value Frequency Percent Percent Percent 1 1 5.3 5.6 5.6

Hi R-users, This is a generic question, is there a way to plot a line graph for the output from crosstable function? one of the inputs to the crosstab function is categorical. Taby -- [[alternative HTML version deleted]]