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# Testing code for the RCMIP5 'makeZStat.R' script
# Uses the testthat package
# See http://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf
library(testthat)
options(dplyr.show_progress = FALSE)
# To run this code:
# source("makeZStat.R")
# source("RCMIP5.R") # for cmip5data
# library(testthat)
# test_file("tests/testthat/test_makeZStat.R")
context("makeZStat")
implementations <- c("data.frame", "array")
test_that("makeZStat handles bad input", {
expect_error(makeZStat(1)) # non-list d
expect_error(makeZStat(cmpi5data())) # wrong size list d
expect_error(makeZStat(d,verbose=1)) # non-logical verbose
expect_error(makeZStat(d,verbose=c(T, T))) # multiple verbose values
expect_error(makeZStat(d,FUN=1)) # non-function FUN
expect_error(makeZStat(d,FUN=c(mean, mean))) # multiple FUN values
})
test_that("makeZStat computes Z means", {
years <- 1850:1851
for(i in implementations) {
d <- cmip5data(years, Z=T, loadAs=i)
res <- makeZStat(d, verbose=F)
# Is 'res' correct type and size?
expect_is(res, "cmip5data", info=i)
# Did unchanging info get copied correctly?
expect_equal(res$valUnit, d$valUnit, info=i)
expect_equal(res$files, d$files, info=i)
expect_equal(res$lon, d$lon, info=i)
expect_equal(res$lat, d$lat, info=i)
expect_equal(res$time, d$time, info=i)
# Depth removed, and other info updated?
expect_null(res$Z, info=i)
expect_is(res$numZs, "integer", info=i)
expect_gt(nrow(res$provenance), nrow(d$provenance)) #, info=i)
# Is the answer value array correctly sized?
expect_equal(RCMIP5:::nvals(res), RCMIP5:::nvals(d)/length(d$Z), info=i)
# Are the answer values numerically correct?
expect_equal(mean(RCMIP5:::vals(res)), mean(RCMIP5:::vals(d)), info=i)
}
})
test_that("makeZStat handles custom function and dots", {
years <- 1850:1851
llsize <- 2
for(i in implementations) {
d <- cmip5data(years, lonsize=llsize, latsize=llsize, Z=T, loadAs=i)
# All data 1, except max Z is 2
if(is.data.frame(d$val)) {
d$val$value <- 1
d$val$value[d$val$Z ==max(d$Z)] <- 2
} else if(is.array(d$val)) {
d$val <- array(1, dim=dim(d$val))
d$val[,,length(d$Z),] <- 2
}
w <- c(rep(1, length(d$Z)-1), length(d$Z)-1)
# Compute correct answer
ans <- aggregate(value~lon+lat+time, data=as.data.frame(d), FUN=weighted.mean, w=w)
res1 <- makeZStat(d, verbose=F, sortData=F, FUN=weighted.mean, w)
expect_is(res1, "cmip5data", info=i)
myfunc <- function(x, w, ...) weighted.mean(x, w, ...)
res2 <- makeZStat(d, verbose=F, sortData=F, FUN=myfunc, w)
expect_is(res1, "cmip5data", info=i)
# Are the result values correct?
expect_equal(RCMIP5:::vals(res1), ans$value, info=i)
expect_equal(RCMIP5:::vals(res2), ans$value, info=i)
}
})
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