Also check out CrossTable in the gmodels package.
Regarding your other question, assuming we have
tab-table(x,y) as in Philippe's post, the fraction of
pairs in x and y that match can be calculated via
any of these:
sum(x==y) / length(x)
sum(diag(tab)) / sum(tab)
library(e1071)
classAgreement(tab) # tab from above
sum(diag(prop.table(tab)))
On 8/7/06, Philippe Grosjean [EMAIL PROTECTED] wrote:
x - c(1,2,3,4,2,3,3,1,2,3)
y - c(2,1,3,4,1,3,3,2,2,3)
table(x, y)
y
x 1 2 3 4
1 0 2 0 0
2 2 1 0 0
3 0 0 4 0
4 0 0 0 1
?table
Best,
Philippe Grosjean
..°}))
) ) ) ) )
( ( ( ( (Prof. Philippe Grosjean
) ) ) ) )
( ( ( ( (Numerical Ecology of Aquatic Systems
) ) ) ) ) Mons-Hainaut University, Belgium
( ( ( ( (
..
Taka Matzmoto wrote:
Dear R-users
I have two vectors. One vector includes true values and the other vector has
estimated values. Values are all integers from 1 to 4.
For example,
x - c(1,2,3,4,2,3,3,1,2,3)
y - c(2,1,3,4,1,3,3,2,2,3)
I would like to a classfication table x by y. With the table, I would like
to calculate what percentage is correct classfication.
Which R function do I need to use for creating a 4 * 4 classification table?
Thank you.
Taka,
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