[R] problem with CSV and R

[Doran, Harold]

Rachel

Using fix() is not really a good way to view or modify your data. It is better to use functions like head(), tail() or index values in the dataframe to view your data and then also modify elements through indexing. 

For instance, something like this

> tmp <- data.frame(v1 = rnorm(10), v2 = rnorm(10))
> tmp[5,2] <- 10000
> tmp[1:5, 1:2]
          v1            v2
1 -0.8304551    -0.8040750
2  1.3093233     0.1811745
3 -0.1827682     1.0008157
4  0.7504598     0.5815853
5  0.3392462 10000.0000000


And hello from another person in Georgetown. 


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Rachel Blum
Sent: Friday, November 22, 2013 8:52 AM
To: r-help at r-project.org
Subject: [R] problem with CSV and R

Hi,

I'm building my own dataset using data downloaded from my qualtrics survey (in .csv format), supplemented by my coding of qualitative variables. When I first downloaded the .csv from qualtrics, it loaded into R quite easily, and I was able to use the fix(dta) command to see my variables. However, once I started editing and coding qualitative variables, something went wrong. R will still let me load the .csv, but as soon as I type fix(dta) it gives me an error message:

*run_REngineRmainloop: exception *** - [__NSPlaceholdArray initWithObjects:count:]:attempt to insert nil object from objects[881] caught during REPL iteration. Update to the latest GUI version and consider reporting this properly (see FAG) if it persists and is not known.*

I made sure none of my columns read in with "i." I'm running the latest version of R (I am using a mac). Is it possible that, due to some of the new variables that have blank cells (i.e. I've made a lot of dummies, coding responses as 1, but leaving others blank) that it's choking? Help!

Rachel

--
Rachel Blum, MA
PhD Candidate in Government
Georgetown University

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