Hello R-users/experts,
I am new to R-
I have a simple question:
Let say I have a data set as follows
temp:[file attached]
the data structure is a follows:
sex age
female 28
female 53
female 53
female 36
male 42
male 29
male 43
male 36
male 41
Here we are grouping all male value into male and all female value in to
female
as follows:
t<- read.csv("agesubject1.csv", header = TRUE)
male <- t$age[t$sex == "male"]
female <- t$age[t$sex == "female"]
Now say for example I have a similar data setas follows:
sex age time
female 28 1
female 53 2
female 53 3
female 36 4
male 42 4
male 29 4
male 43 5
male 36 6
male 41 7
Now I want to accept both the values male and female.
Is it possible. i.e. instead of onle age I want age and time both.
So all ages for male and their corresponding time will be loaded.
Thanks for any help
With Regards
Subhabrata Pal
I think you are looking for:
male <- t[,-1][t$sex == "male"]
female <-t[,-1][t$sex == "female"]
----- Original Message -----
From: "Subhabrata" <subhabratapal at sraindia.com>
To: "r-help" <r-help at stat.math.ethz.ch>
Sent: Saturday, December 24, 2005 8:31 AM
Subject: [R] grouping data
Hello R-users/experts,
I am new to R-
I have a simple question:
Let say I have a data set as follows
temp:[file attached]
the data structure is a follows:
sex age
female 28
female 53
female 53
female 36
male 42
male 29
male 43
male 36
male 41
Here we are grouping all male value into male and all female value in to
female
as follows:
t<- read.csv("agesubject1.csv", header = TRUE)
male <- t$age[t$sex == "male"]
female <- t$age[t$sex == "female"]
Now say for example I have a similar data setas follows:
sex age time
female 28 1
female 53 2
female 53 3
female 36 4
male 42 4
male 29 4
male 43 5
male 36 6
male 41 7
Now I want to accept both the values male and female.
Is it possible. i.e. instead of onle age I want age and time both.
So all ages for male and their corresponding time will be loaded.
Thanks for any help
With Regards
Subhabrata Pal
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Hi Subhabrata,
I'm not totally sure what you are looking for. You can try to separate
both male and female category by creating subset.
t<- read.csv ("agesubject1.csv", header = TRUE)
t.male<-subset(t,sex=="male")
t.female<-subset(t,sex="female")
See whether you want this??
Thanks & Regards,
SUMANTA BASAK.
-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Subhabrata
Sent: Saturday, December 24, 2005 1:02 PM
To: r-help
Subject: [R] grouping data
Hello R-users/experts,
I am new to R-
I have a simple question:
Let say I have a data set as follows
temp:[file attached]
the data structure is a follows:
sex age
female 28
female 53
female 53
female 36
male 42
male 29
male 43
male 36
male 41
Here we are grouping all male value into male and all female value in to
female
as follows:
t<- read.csv("agesubject1.csv", header = TRUE)
male <- t$age[t$sex == "male"]
female <- t$age[t$sex == "female"]
Now say for example I have a similar data setas follows:
sex age time
female 28 1
female 53 2
female 53 3
female 36 4
male 42 4
male 29 4
male 43 5
male 36 6
male 41 7
Now I want to accept both the values male and female.
Is it possible. i.e. instead of onle age I want age and time both.
So all ages for male and their corresponding time will be loaded.
Thanks for any help
With Regards
Subhabrata Pal
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