I assume the solution is somewhat the same; you just have to define how to
determine what the "distinctive" names are to create the groupings. My
solution assumed it was the first character. If the group names end in a
unique sequence, you can use this to form the groups, or you can provide a
lis
Please learn to use dput() to post example data.
# This is your data:
data <- structure(c(1232, 0, 43, 357, 71, 919, 23, 9, , 0, 811, 0,
9871, 795, 76, 72, 743, 14), .Dim = c(3L, 6L), .Dimnames = list(
NULL, c("X1", "X2", "X3", "Y1", "Y2", "Y3")))
data
# define groups and threshold expl
sorry, for the misunderstanding. here is a more elaborate description of
what i would like to achieve.
I have a data set of counts from a RNA-Seq experiment and would like to
filter reads with low counts. I don't want to set everything to 0
automatically.
I would like to set each categorical grou
Is this what you want:
> x <- read.table(text = "X1X2X3Y1Y2Y3
+ 1232357230987172
+ 0719811795743
+ 4391907614", header = TRUE)
> x
X1 X2 X3 Y1 Y2 Y3
1 1232 357 23 0 9871 72
20 719 811 795
Hi,
I have a data frame with multiple columns, which are belong to several
groups
like that:
X1X2X3Y1Y2Y3
1232357230987172
0719811795743
4391907614
I would like to filter such rows out, where the sums in one group
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