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 indi
Hi Xiyan,
It looks like your tables have different numbers of cases. There are:
66 DEAD FEMALES in "cross"
56 DEAD FEMALES in "age"
48 NON-DEAD FEMALES in "cross"
58 NON-DEAD FEMALES in "age"
and so on. Perhaps there is some mistake with the counts. If this is the
problem you could expand the co
I can see no coherent way to merge these two tables. They do not appear to
have consistent definitions for uniqueness of individual rows. Nor do they
have consistent column definitions. If you think they do, you will need to
be more clear in your question about how you want them to be merged.
Dear all,
I am currently studying categorical data analysis, if I have two tables:
R> cross
sex cross death count
1 FEMALE WEF YES26
2MALE WEF YES14
3 FEMALE OGG YES32
4MALE OGG YES43
5 FEMALE TGA YES 8
6MALE TGA YES10
7 FEMALE
4 matches
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