similar to: Crosstabs

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]]

Version 0.6.0 of the gregmisc package has just been released on CRAN. Description: =========== Package: gregmisc Description: Misc Functions written/maintained by Gregory R. Warnes Title: Greg's Miscellaneous Functions Version: 0.6.0 Date: 2002/09/23 Maintainer: Gregory R. Warnes <Gregory_R_Warnes at groton.pfizer.com> Author: Gregory R. Warnes. Includes code provided by Ben

Version 0.6.0 of the gregmisc package has just been released on CRAN. Description: =========== Package: gregmisc Description: Misc Functions written/maintained by Gregory R. Warnes Title: Greg's Miscellaneous Functions Version: 0.6.0 Date: 2002/09/23 Maintainer: Gregory R. Warnes <Gregory_R_Warnes at groton.pfizer.com> Author: Gregory R. Warnes. Includes code provided by Ben

Hi, I've been trying to prepare some crosstables for some survey questions for a client. I have been using the CrossTable function in the gmodels package. However, this command only seems to be able to create CrossTables in text documents. I've been trying to use odfTable in odfweave to create tables that are standalone objects in the document that I can then convert to other

This is a generic request concerning were to look for finding appropriate information on a precise procedure in R. I’m using R for teaching introductory statistics and my students are learning how to deal with it. However, I find it difficult to locate some of the procedures. For instance, for basic crosstabulation, it is obvious that basic functions as table, ftable, and prop.table can be used.

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

Is there any existing function for creating contingency tables that will display counts, row, column, and cell percentages in the same tables....anything similar to crosstabs in S? Marc W. Zodet, MS Health Statistician Center for Cost and Financing Studies Division of Statistical Research and Methods 2101 East Jefferson Street, Suite 500 Rockville, Maryland 20852 Phone: 301-594-7072 Fax:

Full_Name: John Hendrickx Version: 1.6.0 OS: Windows 98 Submission from: (NULL) (137.224.174.216) CrossTable in the "gregmisc" package fails when the fisher.exact test produces an error (I suspect this is because the number of cases is too large). This can be fixed using "FTt <- try(fisher.test(t, alternative = "two.sided"))" or by making the test optional.

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

Hi, I am using the CrossTable function from library(gmodels). x=unique(data[,c("L1","L1_Revenues","RIC")]) L1_Classification=CrossTable(x$L1,x$L1_Revenues,exclude = c("NA","","0%","0"),prop.r=FALSE,prop.c=FALSE,prop.t=FALSE,prop.chisq=FA LSE,dnn=c("L1_Classification","Revenue")) What I would like

I have survey data that I am working on. I need to make some multi-way tables and regression analyses on the data. After attaching the data, this is the code I use for tables for four variables (sweight is the weight variable): > a <- xtabs(sweight~research.area + gender + a2n2 + age) > tmp <- ftable(a) Is this correct? I don't think I need to use the strata and cluster

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:

# Dear list, # I am an R-beginner and # spent the last days looking for a method to insert tables produced # with R into a word document. I thought about SPPS: copy a table from # an SPO-file and paste it into a word document # (if needed do some formatting with that table). # Annother idea was, to produce a TEX-file, # insert it and make it a word-table. # I found the following libraries, which

I'm running 1.9.1 on Mac OS X 10.1. My simple question is whether there is a crosstabs-like command (I know about "xtabs" which is much like "table") that computes not only cell counts but also row, column, and cell percents. Something like crosstabs(~x+y) in S-PLUS. Thank you.

Dear list. New to R, I'm looking for a way of using crosstab to output low-dimensional (higher than 2) contingency tables (frequencies, per-cents by rows, % by columns, mean, quantiles....) I'm looking for something of the following sort dataframe: singers, categorical variates: voice category (soprano,mezzo-soprano, ...) , voice type( drammatic, spinto, lirico-spinto, lirico,

R has amazing capabilities, but percentage tables are a weak spot IMHO. There's prop.table but that's rather unwieldly, especially for multiway tables. CrossTable by Marc Schwartz in the gregmisc library makes percentage tables a breeze but is limited to two-way tables. So I decided to try my own hand at writing an R-function that would make it easy to produce nicely formatted percentage

Hello. I asked before and it was great, cause as a beginner I learned a lot. But, if I have this in R (1 and 2 are codes for sex): > sex<-c(1,2,2,1,1,2,2,2) > sex [1] 1 2 2 1 1 2 2 2 I´d like to obtain the proportion according to sex.So I type: > prop.table(sex) [1] 0.07692308 0.15384615 0.15384615 0.07692308 0.07692308 0.15384615 0.15384615 [8] 0.15384615 The result is OK, but I

Is there an equivalent in R to the crosstabs command S-Plus? I've been searching for a while and can't seem to find anything. Thanks. Mark J. Lamias Department of Statistics Department of Political Science Survey Methodology Program/Survey Research Center Institute for Social Research - University of Michigan 426 Thompson Street, Room 315 Ann Arbor, Michigan 48104-2321 (734) 647-5381

i have a data frame(dat) which has many variables.and i use the following script to get the crosstable. >danx2<-c("x1.1","x1.2","x1.3","x1.4","x1.5","x2","x4","x5","x6","x7","x8.1","x8.2","x8.3","x8.4","x11",

I am attempting to produce crosstabulations between two variables for subgroups defined by a third factor variable. I'm using by() and CrossTable() in package gmodels. I get the printing of the tables first and then a printing of each level of the INDICES. For example: library(gmodels) by(warpbreaks, warpbreaks$tension, function(x){CrossTable(x$wool, x$breaks > 30,