# PygmyWFBC.csv
#
# year: Year of capture (2000, 2001)
# month: Month of capture
# week: Week within a month of capture
# net_no: Unique net identification number
# fish_no: Unique fish identification number
# fl: Fork length (cm)
# tl: Total length (cm)
# wt: Weight (g)
# sex: Sex code (F=Female, M=Male, Imm=immature)
# mat: Maturity code (Imm=immature, MG=maturing, MT=mature)
# scale_age: Scale age (in years)
# oto_age: Otolith age (in years)
# USE: Should the individual be used for analyses.
#
# If you are using the data for Dr. Ogle's final exam in Intro stats then you
# should run the following code to clean the data (assumes your data have been
# loaded into an objected called df).
#
#   df <- filterD(df,USE)
#   df$year <- factor(df$year)
#   mons <- c("May","June","July","August","September","October","November")
#   df$month <- factor(df$month,levels=mons)
#   df <- dplyr::select(df,-USE,-net_no,-fish_no,-scale_age)
#