t;> Here's an example:
>>
>> data <- runif(100,0,10)
>> data[runif(20,0,100)] <- NA
>> file.contents <- matrix(data, ncol = 5, byrow = TRUE)
>> for (i in 1:5) {
>> print (length(na.omit(file.contents[,i])))
>> }
>>
>>
>> -Or
>
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On Behalf Of Jason Thibodeau
> Sent: Thursday, September 18, 2008 10:12 AM
> To: r-help@r-project.org
> Subject: [R] detecting null values in a CSV file
>
> Hello all,
>
> I have a C
PROTECTED]
On Behalf Of Jason Thibodeau
Sent: Thursday, September 18, 2008 10:12 AM
To: r-help@r-project.org
Subject: [R] detecting null values in a CSV file
Hello all,
I have a CSV file, that is 2411 columns wide. There are certain
instances in
teh file, where null values are located. That
Phil's suggestion worked like a charm. My NA's were counted in the frequency
table.
Thanks for the help, all!
On Thu, Sep 18, 2008 at 1:28 PM, Henrik Bengtsson <[EMAIL PROTECTED]>wrote:
> What have you tried this far? Can't you parse them as missing values,
> i.e. NAs? See ?read.csv and argum
I haven't given it a shot yet. To complicate matters further, this file I
have already passed through a filter, which has already converted my null
values to NA. your insight might be of assistance.
On Thu, Sep 18, 2008 at 1:30 PM, Sebastian Weirich <[EMAIL PROTECTED]>wrote:
Hello,
maybe you lo
What have you tried this far? Can't you parse them as missing values,
i.e. NAs? See ?read.csv and arguments '...', i.e. the arguments
'...' are passed to read.table() which takes argument 'na.strings' - a
character *vector* of strings that you want to be interpreted as NAs.
See ?read.table for m
Hello all,
I have a CSV file, that is 2411 columns wide. There are certain instances in
teh file, where null values are located. That is: two commas together,
without anything in the middle. In a certain section, the only possible
values are NULL, 0,1,and 2. I need to be able to detect these NULL'
7 matches
Mail list logo
