[R] Adding a value to one dataframe from another dataframe
arun
smartpink111 at yahoo.com
Wed Dec 12 18:10:07 CET 2012
Hi,
Try ?merge() or ?join()
dat1<-read.table(text="
ID Null
1 NA 1
2 86.11111 2
3 88.88889 3
4 100.00000 4
5 80.55556 5
6 97.22222 6
",sep="",header=TRUE)
dat2<-read.table(text="
SCD.TD cluster
1 1 4
2 1 17
3 2 4
4 2 13
5 2 17
6 3 4
",sep="",header=TRUE)
#merge(dat2,dat1,by.x="SCD.TD",by.y="Null",all=TRUE)
# SCD.TD cluster ID
#1 1 4 NA
#2 1 17 NA
#3 2 4 86.11111
#4 2 13 86.11111
#5 2 17 86.11111
#6 3 4 88.88889
#7 4 NA 100.00000
#8 5 NA 80.55556
#9 6 NA 97.22222
A.K.
----- Original Message -----
From: Nick Duncan <nickdunc at gmail.com>
To: r-help at r-project.org
Cc:
Sent: Wednesday, December 12, 2012 12:00 PM
Subject: [R] Adding a value to one dataframe from another dataframe
Dear All
the problem I have is as follows.
I have attribute data in a number of data.frames identified 1:58 (the
column Null is just there to stop it becoming a list, which caused me
trouble, the data I am interested in is in column 1, although other
data frames have multiple categories/cols). The attribute data frames
are always organised with 58 rows.
ID Null
1 NA 1
2 86.11111 2
3 88.88889 3
4 100.00000 4
5 80.55556 5
6 97.22222 6
In another data frame I have clusters in which the subjects 1:58
appear in different combinations.
SCD.TD cluster
1 1 4
2 1 17
3 2 4
4 2 13
5 2 17
6 3 4
The ID attribute of 2 is 86.1111 and the subject appears in three
clusters. The data frames have different sizes but with the same
number of subjects (row 1 is always the same subject)
I need to analyse the clusters by the values of a number of
attributes. For example I would like to be able to get descriptive
statistics of attribute ID by cluster. I'd like to have a general
approach if possible.
There are NA's in attribute data frames and should be transferred.
What I need to get to is below
SCD.TD cluster ID
1 1 4 NA
2 1 17 NA
3 2 4 86.11111
4 2 13 86.11111
5 2 17 86.11111
6 3 4 88.88889
>From that point I can treat the cluster as a factor and presumably the
analysis is straightforward from there.
Many thanks in advance for any assistance.
Nick
______________________________________________
R-help at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
More information about the R-help
mailing list