http://www.nabble.com/file/p18018170/subdata.csv subdata.csv
I've attached 100 rows of a data frame I am working with.
I have one factor, id, with 27 levels. There are two columns of reference
data, x and y (UTM coordinates), one column date in POSIXct format, and
one column diff in times
Hi Tyler,
I donĀ“t know if I understood well.
Try this. Case not work I try again and again :-)
df-read.csv(http://www.nabble.com/file/p18018170/subdata.csv;)
df.min.diff-aggregate(df[diff], df[c(day)], min)
df.subset-subset(df, paste(df$day, df$diff) %in% paste(df.min.diff$day,
Hi Tyler,
I've attached 100 rows of a data frame I am working with.
I have one factor, id, with 27 levels. There are two columns of reference
data, x and y (UTM coordinates), one column date in POSIXct format, and
one column diff in times format (chron package).
What I am trying to do is
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