Reputation: 2584
I have a data looks like the following df
df<- structure(list(V1 = structure(c(5L, 1L, 2L, 3L, 4L), .Label = c("DNAJC11;FGOTG",
"MAPK14", "PPIB", "RBX1", "USP14"), class = "factor"), V2 = structure(c(4L,
3L, 2L, 1L, 1L), .Label = c("", "DNAJC9", "MAPK14", "USP14"), class = "factor"),
V3 = structure(c(3L, 2L, 4L, 5L, 1L), .Label = c("", "DNAJC11;FGOTG",
"GCLC", "GSR", "STIP1"), class = "factor")), .Names = c("V1",
"V2", "V3"), class = "data.frame", row.names = c(NA, -5L))
I want to merge all columns into one and then keep the unique ones for example the output should look like this
USP14
DNAJC11;FGOTG
MAPK14
PPIB
RBX1
DNAJC9
GCLC
GSR
STIP1
I tried to use melt
function but I could not figure out how to do this, any comment is appreciated. Thanks
Upvotes: 1
Views: 42
Reputation: 128
unique(as.vector(as.matrix(df)))
To remove the entries with no characters:
vec<-unique(as.vector(as.matrix(df)))
vec[-which(vec=="")]
or, courtesy @rawr
Filter(nzchar, unique(as.vector(as.matrix(df))))
Upvotes: 1