how to reproduce my plyr bug

plyr_bug.R

# Download and open this data file, size = 1.4mb
# https://dl.dropbox.com/u/2223411/results_list.rda
load('results_list.rda') 

class(results)
# 1] "list"

length(results)
# [1] 72860

> results[1]
# $SPEC5
#   sites      means
# 1    S4 0.06795411
# 2    S5 0.07508747

# I'm trying to condense this into a data.frame. plyr's ldply is key because otherwise I would lose the simulation ids and cannot match these results back to the original parameters.

results_df <- ldply(results, data.frame, .progress = 'text')
# freezes at 100%

# ---------------------------------
# This is the plyr bug.
result_df <- ldply(results, rbind, .progress = 'text')
# Stops at 100% and does not actually finish (I usually kill it after seeing it stuck at 100% for several minutes). I see this behavior both on my dual core MB pro or on my large cluster.

# My work around
r1 <- ldply(results[1:20000], rbind, .progress = 'text')
r2 <- ldply(results[20001:40000], rbind, .progress = 'text')
r3 <- ldply(results[40001:60000], rbind, .progress = 'text')
r4 <- ldply(results[60001:length(results)], rbind, .progress = 'text')
result_df <- rbind(r1,r2,r3,r4)
> dim(result_df)
# [1] 145720      3