similar to: Deleting multiple variables

I'm having trouble creating a looping variable and i can't see wher ethe problem arises from any hep gratfully appreciated First create a table x<-table(SURVEY$n_0,exposed) > x exposed False True Under 16 24 1 16-19 68 9 20-24 190 37 25-34 555 204 35-44 330 87 45-54 198 65 55-64 67 35 65+

Hello! I am aggregating using a formula in aggregate - of the type: aggregate(cbind(var1,var2,var3)~factor1+factor2,sum,data=mydata) However, I actually have an object (vector of my variables to be aggregated): myvars<-c("var1","var2","var3") I'd like my aggregate formula (its "cbind" part) to be able to use my "myvars" object. Is it

Hi All, Newbie question for you all but i have been looking at the archieves and the help dtuff to get a rough idea of what i want to do I would like to merge two dataframes together based on a keyed variable in one dataframe linking to the other dataframe. Only some of the cases will match but i would like to keep the others as well. My dataframes have 67 and 28 cases respectively and i would

All, I believe I am running the latest version of rshape2 (1.2.1). But this code: library(reshape2) tmp <- melt(smiths, id.vars=1:2, measure.vars=c("age","weight","height"), variable.name="myvars", value.name="myvals" ) names(tmp) Produces this output: > names(tmp) [1] "subject" "time"

Hi All, I'd like to see the function code behind the barplots2() function in the gplots package, however i come across a bit of a stumbling block of a hidden function, can anyone help? > library(gplots) > methods(barplot2) [1] barplot2.default* Non-visible functions are asterisked > barplot2 function (height, ...) UseMethod("barplot2") <environment:

Another newbie question. I've written a function and saved the file as Xtabs.R, in a central place on a network so others will be able ot use the function, My question is how do i call this function? I've tried to chance the working directory, and tried to load it via; > library(Xtabs, lib.loc="//filer/common/technical/surveys/R_test") but neither seem to work? the function

Hello! I have a data set: set.seed(123) y<-data.frame(week=seq(as.Date("2010-01-03"), as.Date("2011-01-31"),by="week")) y$var1<-c(1,2,3,round(rnorm(54),1)) y$var2<-c(10,20,30,round(rnorm(54),1)) # All I need is to create lagged variables for var1 and var2. I looked around a bit and found several ways of doing it. They all seem quite complicated - while in

Hi All, I'm trying to split my dataset, into multiple datasets that i'll analyse later, i wanted to do this dynamically as i might need to rerun the code later. I was looking at doing this via a loop, (Are other methods more appropriate? Would a function be better?) However i'm not sure in R how do do string replacement within the loop in order to create unique dataset names based on

Hi All, I'm trying to run nls on the data from the study by Marske (Biochemical Oxygen Demand Interpretation Using Sum of Squares Surface. M.S. thesis, University of Wisconsin, Madison, 1967) and was reported in Bates and Watts (1988). Data is as follows, (stored as mydata) time bod 1 1 0.47 2 2 0.74 3 3 1.17 4 4 1.42 5 5 1.60 6 7 1.84 7 9 2.19 8 11 2.17 I then

Hi All, I've been having a little trouble using R2HTML and a loop, but can't figure out where the problem lies, any hints gratefully received. My code at the minute, (Which does work) is in the following: library(R2HTML) HTMLStart(outdir = file.path("C://Example_work","R_projects","Dynamic_creative"),filename = "RMDC_mockup",Title="Mock up for

Hi All, i have a dataset that i want to dynamically inspect for the number of variables that start with "Exposure_" and then for these count the entries across each case i.e ID Exposure_1 Exposure_2 Exposure_3 1 y y y 2 y y - 3 y - - So the corresponding new variables

Hello, I am running cluster analysis, and am attempting to create a graph of my clusters. I keep on getting an error that says that my figure margins are too large. d <- file.choose() d <- read.csv(d,header=TRUE) mydataS <- scale(d, center = TRUE, scale=TRUE) #Converts mydataS from a matrix to a data frame mydataS2 <- as.data.frame(mydataS) #removes "coden"

Dear All, I am new to R, I have one question which might be easy. I have a large data with more than 250 variable, i am reducing number of variables by redun function as in the example below, n <- 100 x1 <- runif(n) x2 <- runif(n) x3 <- x1 + x2 + runif(n)/10 x4 <- x1 + x2 + x3 + runif(n)/10 x5 <- factor(sample(c('a','b','c'),n,replace=TRUE)) x6 <-

Dear R listers, I am learning the MLE utility optim() in R to program ordered logit models just as an exercise. See below I have three independent variables, x1, x2, and x3. Y is coded as ordinal from 1 to 4. Y is not yet a factor variable here. The ordered logit model satisfies the parallel regression assumption. The following codes can run through, but results were totally different from what I

Hi, I'm a total beginner in R and this question is probably very simple but I've spent hours reading about it and can't find the answer. I'm trying to reshape a data table from long to wide format. I've tried reshape() and cast() but I get error messages every time and I can't figure why. In my data, I have the length of two fish from each family. My data table (called

Hello Everyone (Quick) question: Does anyone know a package/command or simply a way of creating a table of different panel data estimations (estimated using /*plm()*/ ) just as *mtable()* does for models estimated with /*lm()*/? It seems *mtable* (and *apsrtable* equally) only support /*lm*/ and some other classes but unfortunately not /*plm*/. I am pretty sure others must have encountered this

Dear R user community I wanted to use "bgroup" for plotting a math formula with a big "{" on the left, and nothing on the right. i used text( 10, 10, pos=4, cex=1.8, expression(F(x) == bgroup("{", x, "")), ...) on a 40 x 20 plot. surprisingly, bgroup sets "Phi(xi) = { xi" i.e. replaces alphabetic characters with greek letters in the entire

Dear R users, I am a beginner in R. I have 506 text files (data frame) in one folder namely DATA. The files are called A1 to A253 (253 files) and B1 to B253 (another 253 files). Each file has two columns; V1 (row number) and V2 (the value for each row name). Now I would like to add the values of V2 in each A-file with its relative value in B-file and save it as a new data frame named as C (e.g. C1

Hi All, I've a couple of questions i've been struggling with using the time features, can anyone help? sample data Timestamp user_id 27/05/08 22:57 763830873067 27/05/08 23:00 763830873067 27/05/08 23:01 763830873067 27/05/08 23:01 763830873067 05/06/08 11:34 763830873067 29/05/08 23:08 765253440317 29/05/08 23:06 765253440317 29/05/08 22:52 765253440317

Hi All, I have a questions about associative list mappings in R, and if they are possible? I have data in the form show below, and want to make a new 'bucket' variable called combined. Which is the sum of the control and the exposed metric values This combined variable is a many to many matching as values only appear in the file if they have a value > 0. conversion.type filteredID