Hi,
I have a dataset saved in *.csv format, that contains
13 columns (the first column being the title name and
the rest experiments) and about 2500 rows.
Not all columns in the row have data in it
i.e for eg
Use
x - count.fields('datafile.csv',sep=',')
on your file. This will tell you the number of columns that R thinks is one
each line. Then do:
table(x)
to see if all the lines have the same number of columns. If not, then find
the lines which don't:
which(x != legal.length)
and then look at
See if this works:
read.csv(datafile.csv, row.names = 1, fill = TRUE)
On 7/21/06, Ahamarshan jn [EMAIL PROTECTED] wrote:
Hi,
I have a dataset saved in *.csv format, that contains
13 columns (the first column being the title name and
the rest experiments) and about 2500 rows.
Not all
Hi!
On Fri, Jul 21, 2006 at 05:43:03AM -0700, Ahamarshan jn wrote:
I have a dataset saved in *.csv format, that contains
[...]
BS00,-0.084,0.0136,-0.1569,-0.6484,1.103,1.7859,0.40287,0.5368,0.08461,-0.1935,-0.147974,0.30685
BS01,0.491270283,0.875826172,,
On Fri, 2006-07-21 at 05:43 -0700, Ahamarshan jn wrote:
Hi,
I have a dataset saved in *.csv format, that contains
13 columns (the first column being the title name and
the rest experiments) and about 2500 rows.
Not all columns in the row have data in it
i.e for eg
