how can I convert a long to wide matrix?
Hi Jim,
Thank you very much for your suggestions. I used it but it gave me three
sites. But actually I do have only two sites "Id_X" and "Id_y" . In fact
"A" is repeated two times for "Id_X". If it is repeated, I would like to
take the first one among many repeated values.
dat<-structure(list(ID = structure(c(1L, 1L, 1L, 2L, 2L), .Label = c("id_X",
"id_Y"), class = "factor"), EventDate = structure(c(4L, 5L, 2L,
3L, 1L), .Label = c("9/15/16", "9/15/17", "9/7/16", "9/8/16",
"9/9/16"), class = "factor"), timeGroup = structure(c(1L, 1L,
2L, 1L, 2L), .Label = c("B1", "B2"), class = "factor"), SITE = structure(c(
1L,
1L, 2L, 1L, 2L), .Label = c("A", "B"), class = "factor")), .Names = c("ID",
"EventDate", "timeGroup", "SITE"), class = "data.frame", row.names = c(NA,
-5L))
library(prettyR)
stretch_df(dat,idvar="ID",to.stretch=c("EventDate","SITE"))
ID timeGroup EventDate_1 EventDate_2 EventDate_3 SITE_1 SITE_2 SITE_3
1 id_X B1 9/8/16 9/9/16 9/15/17 A A B
2 id_Y B1 9/7/16 9/15/16 <NA> A B <NA>
Basically I am looking for like following table ID timeGroup EventDate_1 EventDate_2 EventDate_3 SITE_1 SITE_2 1 id_X B1 9/8/16 9/9/16 9/15/17 A B 2 id_Y B1 9/7/16 9/15/16 <NA> A B Thanks
On Tue, May 1, 2018 at 3:32 PM, Jim Lemon <drjimlemon at gmail.com> wrote:
Hi Marna,
Try this:
library(prettyR)
stretch_df(dat,idvar="ID",to.stretch=c("EventDate","SITE"))
Jim
On Wed, May 2, 2018 at 8:24 AM, Marna Wagley <marna.wagley at gmail.com>
wrote:
Hi R user, I was trying to convert a long matrix to wide? I have an example and
would
like to get a table (FinalData1):
FinalData1
B1 B2
id_X "A" "B"
id_Y "A" "B"
but I got the following table using the following code.
FinalData1
B1 B2
id_X "A" "A"
id_Y "A" "B"
the code and the example data I used are given below. Is there any
suggestions to fix the problem?
dat<-structure(list(ID = structure(c(1L, 1L, 1L, 2L, 2L), .Label =
c("id_X",
"id_Y"), class = "factor"), EventDate = structure(c(4L, 5L, 2L,
3L, 1L), .Label = c("9/15/16", "9/15/17", "9/7/16", "9/8/16",
"9/9/16"), class = "factor"), timeGroup = structure(c(1L, 1L,
2L, 1L, 2L), .Label = c("B1", "B2"), class = "factor"), SITE =
structure(c(
1L,
1L, 2L, 1L, 2L), .Label = c("A", "B"), class = "factor")), .Names =
c("ID",
"EventDate", "timeGroup", "SITE"), class = "data.frame", row.names =
c(NA,
-5L))
tmp <- split(dat, dat$ID)
tmp1 <- do.call(rbind, lapply(tmp, function(dat){
tb <- table(dat$timeGroup)
idx <- which(tb>0)
tb1 <- replace(tb, idx, as.character(dat$SITE))
}))
tmp1
FinalData<-print(tmp1, quote=FALSE)
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