Michael Weylandt wrote:
>
> I'm not entirely sure how these two objects are related. Perhaps give a
> little more information on the transform and we can help with
> implementation...
>
Ok, I have got 2 matrices [P,I] and [I,E].
testcontents [P,I]:
structure(list(P = structure(c(1L, 1L, 1L, 2L
Hi,
I have got this start situation:
structure(list(subject = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L), .Label = c("s1", "s2"), class = "factor"),
part = structure(c(1L, 1L, 2L, 3L, 4L, 5L, 1L, 1L, 2L, 6L,
6L), .Label = c("p1", "p2", "p3", "p4", "p5", "p9"), class = "fac
Jean: Thanks!
Works great!
Lars
Op 27 sep. 2011 (w39), om 17:22 heeft Jean V Adams [via R] het volgende
geschreven:
df <- as.data.frame(unclass(xt))
dfu <- unique(df)
class_cnt <- apply(dfu, 1, sum)
subject_cnt <- tabulate(match(apply(df, 1, paste, collapse="-"),
apply(dfu, 1, pa
Startsituation:
structure(c(1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1,
0, 1, 1), .Dim = 4:5, .Dimnames = structure(list(subject = c("s1",
"s2", "s3", "s4"), class = c("c1", "c2", "c3", "c4", "c5")), .Names =
c("subject",
"class")), class = c("xtabs", "table"), call = xtabs(formula = ~s
Thanks, I will read the posting guide.
Q1: thanks for helping me out!
Q2: What I mean is that given the dataset:
subject1,class1_yes, class2_no, class3_yes, class4_no
subject2, class1_no, class2_no, class3_no, class4_yes
subject3, class1_yes, class2_no, class3_yes, class4_no
I want to count for
Hi,
I'm new to R, and I have searched helpfiles and this forum on my 2
questions. Hope you guys can help me out! :-)
Many thanks in advance!
Cheers,
Lars
Q1: I imported a csv file with columnames subject and class. There are about
1000 different classes...
It looks like this:
subject1, class
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