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...; ] && echo "Error: principal not set." && exit 8 [ -z "$REALM" ] && echo "Error: realm not set." && exit 9 [ -z "$ZONE" ] && echo "Error: zone not set." && exit 10 # Disassemble IP for reverse lookups OCT1=$(echo $IP | cut -d . -f 1) OCT2=$(echo $IP | cut -d . -f 2) OCT3=$(echo $IP | cut -d . -f 3) OCT4=$(echo $IP | cut -d . -f 4) RZONE="$OCT3.$OCT2.$OCT1.in-addr.arpa" kerberos_creds() { export KRB5_KTNAME="$KEYTAB" export KRB5CCNAME="$KRB5CC" if [ "$KRB5MIT" =...

...e period. The purpose of this is to compare the summarized values (which were sampled daily) to another variable that was sampled less frequently. Below is a trivial example where I would like to summarize the response variable dat$x such that I have average and sum values from Sept25-27 and Sept28-Oct1. Can anyone suggest an efficient way to deal with dates like this? As an extremely tedious previous effort, I simply created another grouping variable but I had to do this manually. For a large dataset this really isn't a good option. Thanks in advance! Sam library(plyr) dat <- data.frame...