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-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Rachel Blum
Sent: Friday, November 22, 2013 8:52 AM
To: r-help@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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and provide commented, minimal, self-contained, reproducible code.
