Re: [R] reading data into nested frames

Hi Ed, I'm not sure I understand, but can't you rwad the files one by one and create one data.frane using rbind? Is easy to put do in a loop too. Best wishes, Ulrik On Thu, 2 Jun 2016, 20:23 Ed Siefker, wrote: > I have many data files named like this: > > E11.5-021415-dko-1-1-masked-bottom-a

[R] reading data into nested frames

I have many data files named like this: E11.5-021415-dko-1-1-masked-bottom-area.tsv E11.5-021415-dko-1-1-masked-top-area.tsv E11.5-021415-dko-1-2-masked-bottom-area.tsv E11.5-021415-dko-1-2-masked-top-area.tsv E11.5-021415-dko-1-3-masked-bottom-area.tsv E11.5-021415-dko-1-3-masked-top-area.tsv ag

Re: [R] reading data into R

Hi ! You need to assign the output of read.table() into an object; this is how R works: mydata <- read.table ("mydata1.csv", sep=",", header=T) mymean <- mean(mydata$var) You should read some introductory material. I found this useful: http://www.burns-stat.com/pages/Tutor/hints_R_begin.html

Re: [R] reading data into R

e mean of X John Kane Kingston ON Canada > -Original Message- > From: myjacara...@yahoo.com > Sent: Tue, 15 May 2012 05:57:51 -0700 (PDT) > To: r-help@r-project.org > Subject: [R] reading data into R > > Hi I am really new using R, so this is really a beginner stuff!

Re: [R] reading data into R

You need to assign your data set to something -- right now you're just reading it in and then throwing it away: dats <- read.csv("mydata1.csv") mean(dats$X) # Dollar sign, not ampersand Best, Michael On Tue, May 15, 2012 at 8:57 AM, jacaranda tree wrote: > Hi I am really new using R, so this i

Re: [R] reading data into R

hello, The error message is right, you have read the file have NOT assigned it to an object, to a variable. mydata1 <- read.table ("mydata1.csv", sep=",", header=T) Now you can use the variable 'mydata1'. It's a data.frame, and you can see what it looks like with the following instructions. st

[R] reading data into R

Hi I am really new using R, so this is really a beginner stuff! I created a very small data set on excel and then converted it to .csv file. I am able to open the data on R using the command "read.table ("mydata1.csv", sep=",", header=T)" and it just works fine. But when I want to work on the d

Re: [R] Reading data into

try this: > input <- readLines(textConnection("a1 89 2 > 79 392 + b 3 45 4 65")) > closeAllConnections() > # now parse each line to create a dataframe with each row being the score > result <- NULL > for

[R] Reading data into

I have data in the following form: judge poster score poster score poster score a1 89 2 79 392 b 3 45 4 65 and am trying to get it to the following: Poster Judge_A Judge_B Judge_C 1

Re: [R] Reading data into R

BEP wrote: > Hello all, > > I am working with a very large data set into R, and I have no interest in > reviving my SAS skills. To do this, I will need to drop unwanted variables > given the size of the data file. The most common strategy seems to be > subsetting the data after it is read into R

Re: [R] Reading data into R

On Jan 3, 2008 9:00 AM, BEP <[EMAIL PROTECTED]> wrote: > Hello all, > > I am working with a very large data set into R, and I have no interest in > reviving my SAS skills. To do this, I will need to drop unwanted variables > given the size of the data file. The most common strategy seems to be >

[R] Reading data into R

Hello all, I am working with a very large data set into R, and I have no interest in reviving my SAS skills. To do this, I will need to drop unwanted variables given the size of the data file. The most common strategy seems to be subsetting the data after it is read into R. Unfortunately, given