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Subseting

3 messages · Akhil dua, Jessica Streicher, arun

#
On 02.08.2012, at 10:44, Akhil dua wrote:

            
That would actually rather be
data[data$Name %in% names, ]

wouldn't it? You want to extract the rows that belong to a bank you want to retain?

what are firms? what have the firms to do with the banks and their names?
#
Hi,
Try this:

Here, in the example dataset, you have 3 banks.? Suppose, I want to delete 2 banks randomly out of 3, (you can name your specific banks to delete),
dat1<-read.table(text="
Year? Name totalliabilties assets
1990? a????????????? 90??????????? 10
1991? a????????????? 89??????????? 48
1992? a????????????? 87??????????? 34
1993? a????????????? 56??????????? 05
1990? b????????????? 90??????????? 11
1991? b????????????? 69??????????? 43
1992? b????????????? 37??????????? 34
1993? b????????????? 46??????????? 17
1990? c????????????? 55??????????? 10
1991? c????????????? 67??????????? 18
1992? c????????????? 34??????????? 24
1993? c????????????? 53??????????? 35
",sep="",header=TRUE)
?names1<-sample(letters[1:3],2)
?names1
#[1] "b" "a"
subset(dat1,!dat1$Name%in%names1)
#?? Year Name totalliabilties assets
#9? 1990??? c????????????? 55???? 10
#10 1991??? c????????????? 67???? 18
#11 1992??? c????????????? 34???? 24
#12 1993??? c????????????? 53???? 35
A.K.





----- Original Message -----
From: Akhil dua <akhil.dua.12 at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Thursday, August 2, 2012 4:44 AM
Subject: [R] Subseting

Hi everyone

I have banking data set in long format with 4 columns.One of these columns
is bank name which consist of 49 banks and I want the data for only 40
banks out of these 49
so can anyone help me on how to get this 40 banks data

My data looks like

Year? Name totalliabilties assets
1990? a? ? ? ? ? ? ? 90? ? ? ? ? ? 10
1991? a? ? ? ? ? ? ? 89? ? ? ? ? ? 48
1992? a? ? ? ? ? ? ? 87? ? ? ? ? ? 34
1993? a? ? ? ? ? ? ? 56? ? ? ? ? ? 05
1990? b? ? ? ? ? ? ? 90? ? ? ? ? ? 11
1991? b? ? ? ? ? ? ? 69? ? ? ? ? ? 43
1992? b? ? ? ? ? ? ? 37? ? ? ? ? ? 34
1993? b? ? ? ? ? ? ? 46? ? ? ? ? ? 17
1990? c? ? ? ? ? ? ? 55? ? ? ? ? ? 10
1991? c? ? ? ? ? ? ? 67? ? ? ? ? ? 18
1992? c? ? ? ? ? ? ? 34? ? ? ? ? ? 24
1993? c? ? ? ? ? ? ? 53? ? ? ? ? ? 35

please keep in mind that I have 49 firms so I cant do
object<-data[,c("names of the banks I need the data")]
and then extract the data for these banks out of the whole sample

??? [[alternative HTML version deleted]]

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