Accessor functions for the outputs slots in a simList object.
outputs(sim) # S4 method for simList outputs(sim) outputs(sim) <- value # S4 method for simList outputs(sim) <- value outputArgs(sim) # S4 method for simList outputArgs(sim) outputArgs(sim) <- value # S4 method for simList outputArgs(sim) <- value
| sim | A |
|---|---|
| value | The object to be stored at the slot. See Details. |
These functions are one of three mechanisms to add information about which output files to save.
As arguments to a simInit call. Specifically, inputs or outputs.
See ?simInit.
With the outputs(simList) function call.
By adding a function called .inputObjects inside a module, which will be executed
during the simInit call. This last way is the most "modular" way to create
default data sets for your model.
See below for more details.
The automatic file type handling only adds the correct extension from a given
fun and package. It does not do the inverse, from a given extension find the
correct fun and package.
simInitoutputs accepts a data.frame similar to the inputs data.frame, but
with up to 6 columns.
objectName | required, character string indicating the name of the object
in the simList that will be saved to disk (without the sim$ prefix). |
file | optional, a character string indicating the file path to save to.
The default is to concatenate objectName with the model timeunit and
saveTime, separated by underscore, '_'. So a default filename would be
"Fires_year1.rds". |
fun | optional, a character string indicating the function to use to
save that file. The default is saveRDS |
package | optional character string indicating the package in
which to find the fun); |
saveTime | optional numeric, indicating when in simulation time the file
should be saved. The default is the lowest priority at end(sim),
i.e., at the very end. |
arguments | is a list of lists of named arguments, one list for each
fun. For example, if fun = "write.csv",
arguments = list(row.names = TRUE) will pass the argument
row.names = TRUE to write.csv If there is only one list,
then it is assumed to apply to all files and will be recycled as per normal R
rules of recycling for each fun. |
See the modules vignette for more details (browseVignettes("SpaDES.core")).
####################### # outputs ####################### library(igraph) # for %>% tmpdir <- file.path(tempdir(), "outputs") %>% checkPath(create = TRUE) tmpFile <- file.path(tmpdir, "temp.rds") tempObj <- 1:10 # Can add data.frame of outputs directly into simInit call sim <- simInit(objects = c("tempObj"), outputs = data.frame(objectName = "tempObj"), paths = list(outputPath = tmpdir))#> #> #> #>#> #> #> #> #> #> #> #>outputs(sim) # To see what will be saved, when, what filename#> objectName file fun package #> 1 tempObj /tmp/Rtmpk4BZF8/outputs/tempObj_year10.rds saveRDS base #> saveTime saved arguments #> 1 10 NA NA#>#>#>#>#>#>outputs(sim) # To see that it was saved, when, what filename#> objectName file fun package #> 1 tempObj /tmp/Rtmpk4BZF8/outputs/tempObj_year10.rds saveRDS base #> saveTime saved arguments #> 1 10 TRUE NA# Also can add using assignment after a simList object has been made sim <- simInit(objects = c("tempObj"), paths = list(outputPath = tmpdir))#> #> #> #>#> #> #> #> #> #> #> #>#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>outputs(sim) # To see that it was saved, when, what filename.#> objectName saveTime file fun #> 1 tempObj 1 /tmp/Rtmpk4BZF8/outputs/tempObj_year01.rds saveRDS #> 2 tempObj 2 /tmp/Rtmpk4BZF8/outputs/tempObj_year02.rds saveRDS #> 3 tempObj 3 /tmp/Rtmpk4BZF8/outputs/tempObj_year03.rds saveRDS #> 4 tempObj 4 /tmp/Rtmpk4BZF8/outputs/tempObj_year04.rds saveRDS #> 5 tempObj 5 /tmp/Rtmpk4BZF8/outputs/tempObj_year05.rds saveRDS #> 6 tempObj 6 /tmp/Rtmpk4BZF8/outputs/tempObj_year06.rds saveRDS #> 7 tempObj 7 /tmp/Rtmpk4BZF8/outputs/tempObj_year07.rds saveRDS #> 8 tempObj 8 /tmp/Rtmpk4BZF8/outputs/tempObj_year08.rds saveRDS #> 9 tempObj 9 /tmp/Rtmpk4BZF8/outputs/tempObj_year09.rds saveRDS #> 10 tempObj 10 /tmp/Rtmpk4BZF8/outputs/tempObj_year10.rds saveRDS #> package saved arguments #> 1 base TRUE NA #> 2 base TRUE NA #> 3 base TRUE NA #> 4 base TRUE NA #> 5 base TRUE NA #> 6 base TRUE NA #> 7 base TRUE NA #> 8 base TRUE NA #> 9 base TRUE NA #> 10 base TRUE NA# can do highly variable saving tempObj2 <- paste("val", 1:10) df1 <- data.frame(col1 = tempObj, col2 = tempObj2) sim <- simInit(objects = c("tempObj", "tempObj2", "df1"), paths = list(outputPath = tmpdir))#> #> #> #>#> #> #> #> #> #> #> #>outputs(sim) = data.frame( objectName = c(rep("tempObj", 2), rep("tempObj2", 3), "df1"), saveTime = c(c(1,4), c(2,6,7), end(sim)), fun = c(rep("saveRDS", 5), "write.csv"), package = c(rep("base", 5), "utils"), stringsAsFactors = FALSE) # since write.csv has a default of adding a column, x, with rownames, must add additional # argument for 6th row in data.frame (corresponding to the write.csv function) outputArgs(sim)[[6]] <- list(row.names = FALSE) sim <- spades(sim)#>#>#>#>#>#>#>#>#>#>#>outputs(sim)#> objectName saveTime fun package #> 1 tempObj 1 saveRDS base #> 2 tempObj 4 saveRDS base #> 3 tempObj2 2 saveRDS base #> 4 tempObj2 6 saveRDS base #> 5 tempObj2 7 saveRDS base #> 6 df1 10 write.csv utils #> file saved arguments #> 1 /tmp/Rtmpk4BZF8/outputs/tempObj_year01.rds TRUE NA #> 2 /tmp/Rtmpk4BZF8/outputs/tempObj_year04.rds TRUE NA #> 3 /tmp/Rtmpk4BZF8/outputs/tempObj2_year02.rds TRUE NA #> 4 /tmp/Rtmpk4BZF8/outputs/tempObj2_year06.rds TRUE NA #> 5 /tmp/Rtmpk4BZF8/outputs/tempObj2_year07.rds TRUE NA #> 6 /tmp/Rtmpk4BZF8/outputs/df1_year10.csv TRUE FALSE# read one back in just to test it all worked as planned newObj <- read.csv(dir(tmpdir, pattern = "year10.csv", full.name = TRUE)) newObj#> col1 col2 #> 1 1 val 1 #> 2 2 val 2 #> 3 3 val 3 #> 4 4 val 4 #> 5 5 val 5 #> 6 6 val 6 #> 7 7 val 7 #> 8 8 val 8 #> 9 9 val 9 #> 10 10 val 10#> exts fun package #> 1 rds saveRDS base #> 2 qs qsave qs #> 5 grd writeRaster raster #> 4 csv write.csv utils #> 3 txt write.table utilslibrary(raster) if (require(rgdal)) { ras <- raster(ncol = 4, nrow = 5) ras[] <- 1:20 sim <- simInit(objects = c("ras"), paths = list(outputPath = tmpdir)) outputs(sim) = data.frame( file = "test", fun = "writeRaster", package = "raster", objectName = "ras", stringsAsFactors = FALSE) outputArgs(sim)[[1]] <- list(format = "GTiff") # see ?raster::writeFormats simOut <- spades(sim) outputs(simOut) newRas <- raster(dir(tmpdir, full.name = TRUE, pattern = ".tif")[1]) all.equal(newRas, ras) # Should be TRUE }#> #> #> #>#> #> #> #> #> #> #> #>#>#>#>#>#>#>#> [1] TRUE