Dear list,
I reduced my data to the following:
x <- c(1,4,2,6,8,3,4,2,4,5,1,3)
y <- as.factor(c(2,2,1,1,1,2,2,1,1,2,1,2))
z <- as.factor(c(1,2,2,1,1,2,2,3,3,3,3,3))
I can produce the statistical summary just fine.
s1 <- tapply(x, y, summary)
d1 <- tapply(x, y, sd)
s2 <- tapply(x, z, summary)
d2 <- tapply(x, z, sd)
First thing:
I have 100 plus factors to analyse. Theirs names are f1001 to f1381 (about).
Is there a way to avoid having to write these lines 100 plus times?
Second thing:
How can I put the standard deviation and the summary statistics into one output?
Third thing:
In the end I want to write the summary statistics into a data base (Access). It
would be fantastic if I could achieve a table such as:
factor level Min. 1st Qu. Median Mean 3rd Qu. Max. SDev.
y 1 1.000 2.000 3.000 3.833 5.500 8.000 2.714160
y 2 1.000 3.000 3.500 3.333 4.000 5.000 1.366260
z 1 1.0 3.5 6.0 5.0 7.0 8.0 3.6055513
.
.
.
I tried to unlist the matrices, but it did not help much.
it <- NULL # "it" - Iterationen
for (i in 1:nlevels(z)){
it[[i]] <- unlist(s1[[i]])}
Help to any of the three points is greatly appreciated.
Cheers,
Gerit
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