Hi,
You may try this:
vec1<-unique(data1[,1])
res<-do.call(rbind,lapply(seq_along(vec1),function(i)
{x1<-data1[data1[,1]%in%vec1[-i],]; x2<-mean(x1$value[x1$value>0]); x3<-
data1[data1[,1]%in% vec1[i],]; x3$value[x3$value<0]<-x3$value[x3$value<0]+x2;
x3}))
res1<-res[match(row.names(dat1),row.names(res)),]
A.K.
My example dataset is below.
data1<-structure(list(Group = c("c", "c", "b", "e", "b", "b", "e", "b",
"b", "c", "b", "c", "d", "e", "a", "c", "e", "e", "b", "c", "e",
"a", "b", "c", "a", "d", "c", "a", "c", "d"), value = c(1.65766756554083,
-1.00159810943707, 0.828016940090355, -0.0942360302636258, 0.110184789532348,
0.501357929769482, -0.843610465892682, 0.112544248337201, 0.83530947271874,
1.54896291279315, -0.668032450079063, -0.328748306664628, -0.15429551998755,
1.58892084606551, -0.45892429914377, -2.15596722591948, 0.898111157005135,
-0.287228845053069, -1.54706640415041, -0.780803473387221, 1.54955826561218,
-0.506014575029359, -1.66808530086564, -0.845467401060001, 1.92688611565505,
0.46643424929481, 0.293821259924534, 0.151536430922866, -1.62429048404794,
0.444694790051071)), .Names = c("Group", "value"), row.names = c(NA,
-30L), class = "data.frame")
Here, i need to change the negative values by adding with the
mean of the positive values. The condition is that the mean of the
positive values should exclude the positive values on the group on which
this is carried out. For example, the 'a' group negative values should
be added with the mean from the positive values from groups
'c","d',"e","b". Similarly for other groups.
Thanks.
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