Displaying 1 result from an estimated 1 matches for "agesubject1".
2005 Dec 24
2
grouping 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...