Hello,

I've not been following this thread but this seems ndependent from previous posts. Try the following.



url <- "http://r.789695.n4.nabble.com/file/n4636337/BR3_2011_New.csv";
tUnitsort <- read.csv(url, header=TRUE)

cols <- sapply(c("Date", "Hour", "BlockNumber", "MyTo"), function(x)
        grep(x, names(tUnitsort)))

# This does it
# Use full data.frame 'tUnitsort' if you want
data.tmp <- aggregate(MyTo ~ Date + Hour, data = tUnitsort[, cols], max)
data.tmp <- merge(tUnitsort[, cols], data.tmp, by=c("Date", "Hour"))

# Make it pretty
idx <- grep("MyTo", names(data.tmp))
names(data.tmp)[idx] <- c("MyTo", "NewColumn")

# See it
head(data.tmp, 20)
tail(data.tmp, 20)


Also, you should quote the context. Many, almost all of us do NOT read the posts on Nabble. And Nabble does have a "quote" button.

Hope this helps,

Rui Barradas

Em 12-07-2012 18:55, jcrosbie escreveu:
Thank you,

I am sorry but I am still trying to figure out how to make the function
work.

I have a column called tUnitsort$BlockNumber which can range from 0 to 6.
I have another two columns with the date and the hour ending for the given
day.
Example

Date        Hour   BlockNumber  MyTo  NewColumn
2011-01   1          2                            140     140
2011-01   1          1                           70        140
2011-01   1          0                           0           140
2011-02   1          2                           160     160
2011-02   1          1                           70        160
2011-02   1          0                           0          160
2011-03   1          2                           150     150

I want to create a NewColumn which will place the MyTo number for the
highest block number for the rest blocks in a given hour ending within a
day.


ifelse(tUnitsort[,4]>=tUnitsort[-1,4],tUnitsort[,7],tUnitsort[-1,7])

I am unsure how to refference the element before in this case.  I thought
the -1 was doing this but I believe I'm wrong now.

http://r.789695.n4.nabble.com/file/n4636337/BR3_2011_New.csv
BR3_2011_New.csv

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