Hi Michael,
thanks a lot for the additional tips! So far it all has worked!
Marion
2012/2/17 Marion Wenty
> Hi Michael and Rui,
>
> thanks a lot for the tips.
>
> It worked with both your suggestions!
>
> I also found out, that this problem only exists if I put header=T.
>
> Thanks again!
>
> Ma
Hi Michael and Rui,
thanks a lot for the tips.
It worked with both your suggestions!
I also found out, that this problem only exists if I put header=T.
Thanks again!
Marion
If you don't need to refer to colnames you should be fine.
If you do need to subset by colnames, you can still do it w
Hello,
> I read a .csv file into R
>
> with the following command:
>
> A<-read.csv2(file="Mappe3.csv")
>
> It worked fine, except that I would like to get rid of the points between
> the words and get spaces instead like I have got in the .csv file.
Try
gsub('\\.', ' ', A)
(And see ?regexp
If you don't need to refer to colnames you should be fine.
If you do need to subset by colnames, you can still do it with `[`,
but you'll have trouble if you want to use the $ trick, unless you use
back-ticks. Don't worry about these things if they aren't troubling
you now though.
Michael
On Thu
David, thanks for the tips, though, I tried these arguments but it didn'
work.
Michael, thanks for your advice which worked, so far. I am using my object
to create a barplot afterwards, which automatically puts the colnames
besides the bars. Maybe this is still a good solution for my purpose as I
check.names=FALSE
but it's discouraged because it will make it hard to refer to column
names inside R.
Michael
On Thu, Feb 16, 2012 at 11:18 AM, Marion Wenty wrote:
> Dear r-helpers,
>
> I read a .csv file into R
>
> with the following command:
>
> A<-read.csv2(file="Mappe3.csv")
>
> It worked
Dear r-helpers,
I read a .csv file into R
with the following command:
A<-read.csv2(file="Mappe3.csv")
It worked fine, except that I would like to get rid of the points between
the words and get spaces instead like I have got in the .csv file.
At the moment it looks like the following:
habe.m
Thanks for all the input. You were right. It was not csv file in the
correct format. As it turned out, it's not a R problem, more a MAC
problem. For some reason, my MAC doesn't correctly download csv file
from internet, which caused all the subsequent problems. I will have
to take it to a m
On Wed 14 Sep 2011 10:37:46 CEST, Uwe Ligges wrote:
>
>
> On 14.09.2011 10:28, Rainer M Krug wrote:
>> -BEGIN PGP SIGNED MESSAGE-
>> Hash: SHA1
>>
>> On 13/09/11 18:08, bonnieyuan wrote:
>>> Hi, I used read.csv(file name, header=T, sep=",") to bring in a csv
>>> file I saved in MS Excel. Th
On 14.09.2011 10:28, Rainer M Krug wrote:
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
On 13/09/11 18:08, bonnieyuan wrote:
Hi, I used read.csv(file name, header=T, sep=",") to bring in a csv
file I saved in MS Excel. The strange thing is all the data ended
up in one big column. The number o
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
On 13/09/11 18:08, bonnieyuan wrote:
> Hi, I used read.csv(file name, header=T, sep=",") to bring in a csv
> file I saved in MS Excel. The strange thing is all the data ended
> up in one big column. The number of rows match with the number of
> observa
AM
To: r-help@r-project.org
Subject: [R] import csv file into R, strange problem
Hi, I used read.csv(file name, header=T, sep=",") to bring in a csv
file I
saved in MS Excel. The strange thing is all the data ended up in one
big
column. The number of rows match with the number of obser
[mailto:r-help-boun...@r-project.org] On
Behalf Of bonnieyuan
Sent: Tuesday, September 13, 2011 10:09 AM
To: r-help@r-project.org
Subject: [R] import csv file into R, strange problem
Hi, I used read.csv(file name, header=T, sep=",") to bring in a csv file I
saved in MS Excel. The stra
Hi, I used read.csv(file name, header=T, sep=",") to bring in a csv file I
saved in MS Excel. The strange thing is all the data ended up in one big
column. The number of rows match with the number of observations, but all
the variables got squeezed into one column. Also the first row where the
head
14 matches
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