`calcQuantiles.Rd`

This function reads in all repetitions for each patch and calculates either
the mean, quantiles, or both. User chooses the quantiles, up to 4 decimal places,
and enters them as a vector. Quantiles are calculated empirically. (order does not matter)

calcQuantiles(readDir, writeDir, mean = TRUE, quantiles = NULL, verbose = TRUE)

readDir | Directory to find repetition folders in |
---|---|

writeDir | Directory to write output |

mean | Boolean, calculate mean or not. Default is TRUE |

quantiles | Vector of quantiles to calculate. Default is NULL |

verbose | Chatty? Default is TRUE |

Writes output to files in writeDir

Given the readDir, this function assumes the follow file structure:

readDir

repetition 1

patch 1

patch 2

patch 3

repetition 2

patch 1

patch 2

patch 3

repetition 3

repetition 4

...

Output files are *.csv contain the mean or quantile in the file name, i.e.
M/F*Mean*(patchNum).csv and M/F*Quantile*(quantNum)_(patchNum).csv.

# NOT RUN { # This function assumes network$multRun() has been performed, or several # network$oneRun() have been performed and all of the data has been split # and aggregated. # read/write paths fPath <- "path/to/folder/ofFolders/with/data" oPath <- "my/path/output" # here, only calculate mean, no quantiles # no return value calcQuantiles(readDir = fPath, writeDir = oPath, mean = TRUE, quantiles = NULL) # here, calculate 2.5% and 97.5% quantiles calcQuantiles(readDir = fPath, writeDir = oPath, mean = FALSE, quantiles = c(0.025, 0.975)) # }