similar to: converting character to numeric

I haven't used R in a couple of years, and now am trying something as simple as importing a csv file and am running into problems right away. * mydata <- read.csv (Wordata1.csv, sep="") Error in read.table(file = file, header = header, sep = sep, quote = quote, : object 'Wordata1.csv' not found *I've tried in both as as read.csv and read.table and still get the

I am working with a list of dates and I would like to replace each date with the one that comes after, ie. 1/1/07 will become 1/5/07, 1/5/07 will become 1/7/07, etc. The number of days between my dates always varies, so I can't just increase each one by 5 days or so. Does anyone know of a way I can do this in R? thank you [[alternative HTML version deleted]]

My question is probably pretty basic, but since I'm really new to R, here it goes .... I have two separate data frames that include class names and various other information on classes. I'm trying to create a match based on class names and if a match exists to create a third data frame with the class name. I was hoping to accomplish this with sapply, but I can't figure out if I can

Hi R users: How can I obtain an italic font only for one of the two strips in a xyplot? library(lattice) t<-rep(seq(0,10,5),4) logCFU<-c(2,2.5,3,4,4.5,1.5,2,2.5,3,3.4,2,2.5) microorg<-factor(rep(c("E. coli","L. monocytogenes"),each=6)) tratam<-factor(rep(c("t1","t2"),6)) xyplot(logCFU~t|microorg+tratam,type="p",

I'm trying to create a colored map that would show the number of students per state. My data frame consists of two columns - state and count. I'm using the following code library(maps) map("usa") library(plotrix) state.col<-color.scale(gre$count,0,0,c(0,1)) map("state",fill=TRUE,col=state.col) I'm getting a map, but the values are not being mapped to correct

I'm running the following code numbers <- 1:50 for (i in 1:50) assign(paste("model",numbers[i]),i)<-(lm(temp$Overall.Scaled.Score~temp$raw.score)) where I want R to create 50 different models-1:50, but get the following error message "target of assignment expands to non-language object". I've tried it with

I'm trying to create a fairly basic map using R. What i want to get is the map of the country with circles representing a count of students in each state. What I've done so far is as following - map("state") symbols(data1$count,circles=log(data1$count)*3,fg=col,bg=col,add=T,inches=F) this gives me the map of the country, but one that's not populated by my counts. Does

Dear all, I have problem when reading a table into R. The total row of read in table has is much less than the original saved table. I built a 1,273,230 by 6 data set named "mydata2", it was saved in the following command, write.table(mydata2, "mydata2.txt", row.name=F,col.name=T,quote=F,sep="\t") The next day I read in above saved text file into R,

you could try mapply mydata2<-mapply("[", mydata, lapply(mydata, function(x) !x %in% A)) mydata2[[1]]<-A #to replace the obviously deleted elements of "A" mydata2 mydata2[[1]] mydata2[[2]] mydata2[[3]] mydata2[[4]] Stefano -----Messaggio originale----- Da: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]Per conto di jastar

Hello, does anyone know of a quick way to create a data frame "like" another, but with more rows? What I'd like to do is this: if mydata is a data.frame like a b c 1 TRUE yes 2 FALSE no 3 TRUE yes I'd like to get mydata2 with the same column names and column types, but without the values and with more rows. All I could think of was to manually do

R helpers I am getting to grips with R but came across a small problem today that I could not fix by myself. I have 3 text files, each with a single column of data. I read them in using: myData1<-scan("C:/Program Files/R/myData1.txt") myData2<-scan("C:/Program Files/R/myData2.txt") myData3<-scan("C:/Program Files/R/myData3.txt") I wanted to produce a

Dear all, I have problem when reading a table into R. The total row of read in table has is much less than the original saved table. I built a 1,273,230 by 6 data set named "mydata2", it was saved in the following command, write.table(mydata2, "mydata2.txt", row.name=F,col.name=T,quote=F,sep="\t") The next day I read in above saved text file into R,

I've created a number of models using lm and now want to pick one with the smallest standard error or the smallest RSS, I can get a list of RSS using anova function, but is the any way I can then select one with the smallest RSS from the list? [[alternative HTML version deleted]]

Hello I have dataframes. mydata1 <-data.frame(value=c(15,20,25,30,45,50),dates=c("2005-05-25 07:00:00 ","2005-05-25 19:00:00","2005-06-25 07:00:00","2005-06-25 19:00:00 ","2005-07-25 07:00:00","2005-8-25 19:00:00")) or mydata2 <-data.frame(value=c(15,20,25,30,45,50),dates=c("2005-05-25 00:00:00 ","2005-05-25

I am trying to overlay a data frame with lat and longitude(which refer to zip codes) on the map of US that I get by using map ("states"). Is there anyway to do this or do I have to resort to using maptools? thank you [[alternative HTML version deleted]]

I can run one-sample t-test on an array, for example a matrix myData1, with the following apply(myData1, 2, t.test) Is there a similar fashion using apply() or something else to run 2-sample t-test with datasets from two groups, myData1 and myData2, without looping? TIA, Gang

Dear All, I have a dissimilarity matrix which I happily convert to a distance object by running: X <- as.dist(Y) and I can happily now run either hclust(X) or agnes(X). So that the various bits of output are labelled correctly I would dearly like to be able to give names to the columns and rows of X, as would happen if I ran: mydata<-read.table("clipboard",header=T)

Dear users, I have a double for loop that does exactly what I want, but is quite slow. It is not so much with this simplified example, but IRL it is slow. Can anyone help me improve it? The data and code for foo_reg() are available at the end of the email; I preferred going directly into the problematic part. Here is the code (I tried to simplify it but I cannot do it too much or else it

Hi, It works for me to import spss datasets via library(foreign) with read.spss or via library Hmisc by (spss.get). But no matter which way I do import the data, user-defined missings from Spss are always lost. (it makes no difference if there are a single value, a range, or any combination of them. They are always ignored). Is there any way in R to find out if any value was user-defined missing

Hello fellow R's, I?ve been learning to use the ggplot2 library, and after a full day of work I still have a couple of basic questions. Here is an example: mydata=data.frame(x=runif(20),y=runif(20),n=runif(20)) mydata2=data.frame(x=c(0.4,0.6,0.5),y=c(0.4,0.4,0.6)) ggplot(mydata, aes(x, y)) + geom_point(aes(size = n)) + geom_polygon(data=mydata2,aes(x,y,alpha=0.5)) In this plot, the