Reputation: 11441
Lately, I sometimes get an error when reading SPSS files using read.spss
from the foreign
package:
Error in read.spss("sample.sav") : error reading system-file header In addition: Warning message: In read.spss("sample.sav") : sample.sav: Bad format specifier byte (0)
I produced a tiny sample.sav
file with just one variable and 3 cases that will cause the error. Download the file or use
download.file("http://134.102.100.220/~mark/sample.sav", "sample.sav")
read.spss("sample.sav")
Any ideas?
My system
R version 3.1.1 (2014-07-10)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
foreign: Version 0.8-63
locale:
[1] en_US.UTF-8/de_DE.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
Upvotes: 4
Views: 7444
Reputation: 263499
$FL2@(#) IBM SPSS STATISTICS DATA FILE 64-bit Macintosh 20.0.0 ����������������������Y@24 Mar 1515:00:55electric paper �������������������VAR1 ���None�������������������������������–�����������È˝��������������ˇˇˇˇˇˇÔˇˇˇˇˇˇˇÔ˛ˇˇˇˇˇÔˇ���
That is the header viewed in a simple text editor (TextEdit.app). So reading the help file for read.spss, one sees that it suggested using:
install.packages("memisc")
?memisc::spss.system.file
memisc::spss.system.file("~/Downloads/sample.sav")
#-=----------------
SPSS system file '/Users/davidwinsemius/Downloads/sample.sav'
with 1 variables and 3 observations
inp <- memisc::spss.system.file("~/Downloads/sample.sav")
actual <- memisc::subset(inp, select= c(var1=var1))
actual
Data set with 3 observations and 1 variables
var1
1 1
2 2
3 3
The moral of the story: Sometimes is is better to read all of the help file. Since I have in the past read that same help page, I was surprised to find that it had been modified. In the past there comments regarding version limitations which now seem to have been removed.
Upvotes: 3
Reputation: 4444
I would use the haven
package, rather than foreign
, to read spss files:
require("haven")
sample <- read_spss("sample.sav")
View(sample)
You could alternatively use the sjPlot
package, which uses haven
to do its heavy lifting:
require("sjPlot")
sample <- sjPlot::read_spss("sample.sav", option = "haven")
View(sample)
Using sjPlot
, you can also view the variable labels and values:
sjPlot::view_spss(sample)
Upvotes: 5