Even really helpful, I found R Marries NetLogo: Introduction to the RNetLogo Package (Jan C. Thiele, 2014, https://www.jstatsoft.org/article/view/v058i02/v58i02.pdf) little too complicated for the beginners in R and NetLogo alone.
A complete beginners guide how to read and use NetLogo BehaviorSpace data in R
Firstly, we need to export a data in table output from NetLogo BehaviorSpace.
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Sure, you can keep the Spreadsheet format as well, but in R, the Table output is more suitable.
First, have a look of the structure of the BehaviorSpace Table output data. Data consist of information about the executed NetLogo experiment and applied model (description....), and of the true table: consisted of table header (column names) and reporter values (data values). The columns represent reporters' values over simulation run.
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Now, we are ready to read NetLogo BehaviorSpace Data in R.
Firstly, we need to identify the working directory, where your NetLogo table is stored
# set working directory
setwd("c:/Users/Book/Desktop")
Now, we need to load the table (read.table()), skip the "description data" part of table (thus skip first 6 rows), and read table correctly by defining the columns by sep and quote.
# --------------------------------------------------------
# import .csv files by names
# skip the first columns but keep names of columns
my.df<-read.table("Fire experiment-table.csv",
header = T, # set columns names true
sep = ",", # define the separator between columns
skip = 6, # skip first 6 rows
quote = "\"", # correct the column separator
fill = TRUE ) # add blank fields if rows have unequal length
Check if table has been read correctly
head(my.df)
Plot the data as boxplot
boxplot(burned.trees ~ density,
data = my.df,
col = "lightgray",
main = "",
xlab = "density",
ylab = "burned trees")
Tadaaa !!!