similar to: multiple 2 by 2 crosstabulations?

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

Hello, I'm new to R and have a very basic syntax question for the functionglm. I am using the function glm() to do a regression on a data set. I want to run this function in a while loop, so I need to be able to do two things: (1) I need to be able to have my list of variables in the regression be based from a variable vector instead of hard code. (2) I need to be able to collect the

Buenas tardes, Quiero aplicar la función rbind y necesito tener los mismos nombres de columnas. Como tengo unas 195 variables en cada dataframe, necesito hacerlo de una forma rápida. Tengo 9 bases de datos y tengo que fusionar todas. ¿Como puedo comprobar que los nombres de las variables son los mismos? Y de lo contrario, ¿como detecto las diferencias? He probado con

Buenos dias, Tengo la siguiente duda. Desde una hoja de calculo .xls me descargo un fichero en r as.matrix. Time VAR_2 VAR_3 VAR_4........ VAR_N Fechas(n) Precios Precios Precios Precios Fechas (n-1) ¿como puedo hacer para graficar de forma ordenada (fechas) cada uno del vector columnas (son precios de activos)? [[alternative HTML

Hi, I know you can access various sip variables via 'Set(sstatus=${SIPPEER(201,status)})' (for example) to get the status of the sip user - but what about variables? I have a user that has setvar=123456 in their users.conf (sip.conf if you prefer). I can read it with a 'sip show peer 201' - but that gives everything and parsing that isn't really an option. Anyone know how

Dear R help list, I am modeling some survival data with coxph and survreg (dist='weibull') using package survival. I have 2 problems: 1) I do not understand how to interpret the regression coefficients in the survreg output and it is not clear, for me, from ?survreg.objects how to. Here is an example of the codes that points out my problem: - data is stc1 - the factor is dichotomous

1. The weibull is the only distribution that can be written in both a proportional hazazrds for and an accelerated failure time form. Survreg uses the latter. In an ACF model, we model the time to failure. Positive coefficients are good (longer time to death). In a PH model, we model the death rate. Positive coefficients are bad (higher death rate). You are not the first to be confused

Thanks for sharing the questions and responses! Is it possible to appreciate how much the coefficients matter in one or the other model? Say, using Biau's example, using coxph, as.factor(grade2 == "high")TRUE gives hazard ratio 1.27 (rounded). As clinician I can grasp this HR as 27% relative increase. I can relate with other published results. With survreg the Weibull model gives a

Library gmodels include a function CrossTable that is useful for crosstabulation. In the help, it is indicated that one can call this function as CrossTable(data), were data is a matrix. However, when I try to use this option, it doesn't help. Any idea? Is there a bug? Thanks for your help. Prof. Albert Sorribas Grup de Biomatem?tica i Bioestad?stica Departament de Ci?ncies M?diques B?siques

Hello list members, I'm looking for a way to force the results of a crosstabulation to be square - that is, to include 0 values. For example: table(letters[1:4],letters[c(1:3,3)]) yields: a b c a 1 0 0 b 0 1 0 c 0 0 1 d 0 0 1 I would like to return: a b c d a 1 0 0 0 b 0 1 0 0 c 0 0 1 0 d 0 0 1 0 Any suggestions? Thanks! -- Manuel A. Morales

Hi R-helpers, I have two queries relating to generalising to n dimensions: What I want to do in the first one is generalise the following statement: expand<-expand.grid(1:x[1],1:x[2],...1:x[n]) where x is a vector of integers and expand.grid gives every combination of the set of numbers, so for example, expand.grid(1:2, 1:3) takes 1,2 and 1,2,3 and gives 1,1 2,1 1,2 2,2 1,3 2,3 My x

Hey, I'm trying to create an image file with the results of a regression analysis. In TeX, the line would be something like: $ size = 0.34 + 4.3 var_1 $ Can I create a plot window with just this line in it? I tried playing around with plot.new() or dev.new(), but didn't really find something that worked. Thanks in advance, Alex -- alexx at alexx-fett:~$ vi .emacs

I want to form a 3x3 crosstabulation for the signs of two vectors (i.e. Negative, Zero, Positive). The problem is that I am simulating the data so for some iterations one of the categories is absent. Thus the resulting table shrinks to 3x2. I want it to be 3x3 with zero column corresponding to the missing category. Moreover, I have tried but failed to give the dimension names. -- Sohail Chand

Hello R-users, My toy example: aa<-c(1:5) bb<-c(NA,2,NA,4,5) cc<-c(1,2,NA,4,NA) dd<-c("A","B","B","A","C") df<-data.frame(aa,bb,cc,dd=as.factor(dd)) table(unlist(df[,1:3])) Can anyone point me to what function let's me do a crosstabulation between table(unlist(df[,1:3])) and df$dd? I want to find out when dd==A (or B,

how about this: tapply(vector,list(factor1,factor2),function)? -----Original Message----- From: owner-r-help at stat.math.ethz.ch [mailto:owner-r-help at stat.math.ethz.ch]On Behalf Of Murray Jorgensen Sent: 24. september 2000 02:46 To: R-help Subject: [R] Crosstabulation I can't seem to find a function in R similar to Splus crosstabs() for creating a multi-way table from factors and a

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 All: I was recently working with a dataset on arsenic poisoning. Among the variables in the dataset, I used the following three variables to produce crosstabulations (variable names: FOLSTAT, GENDER, ASBIN; all three were categorical variables, FOLSTAT denoted follow up status for the subjects and had seven levels, GENDER denoted sex (two levels: male,female), and ASBIN denoted binarized

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.

# 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

Hello! I have dataset where one variable is 'multiresponse', like this: [1] "1 2" "1 2 3" "4" "1 4" "4 3" etc. 'responses' separated by space. observations in different 'rows' of data.frame. I can do strsplit(data$var,' ') and make a list, where multiple responses are elements of character vectors, like this: $