Hi Xiyan,
You don't show your original data, so
* If you produced `cross` and `age` tables by summing the counts from a
single larger data set, go back to that and do it again. but now include
age/
* Otherwise, you can use vcdeExtra::expand.dft()` on both of these data
sets to expand to individual observations, and merge those.
In general, you'll get better replies by including a reproducible
example, rather than summary output from the console.
-Michael
On 2/22/2016 1:46 PM, Xiyan Lon wrote:
Dear all,
I am currently studying categorical data analysis, if I have two tables:
R> cross
sex cross death count
1 FEMALE WEF YES 26
2 MALE WEF YES 14
3 FEMALE OGG YES 32
4 MALE OGG YES 43
5 FEMALE TGA YES 8
6 MALE TGA YES 10
7 FEMALE WEF NO 6
8 MALE WEF NO 7
9 FEMALE OGG NO 26
10 MALE OGG NO 12
11 FEMALE TGA NO 16
12 MALE TGA NO 26
R> age
sex age death count
1 FEMALE 17Y YES 16
2 MALE 17Y YES 4
3 FEMALE 18Y YES 40
4 MALE 18Y YES 51
5 FEMALE 17Y NO 32
6 MALE 17Y NO 42
7 FEMALE 18Y NO 26
8 MALE 18Y NO 15
- How to merge two tables.
- How to expand both tables such as:
sex age cross death
FEMALE 17Y WEF YES
...
FEMALE 18Y TGA NO
Warm regards,
Xiyan Lon
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