# Copyright © 2022 University of Kansas. All rights reserved.
testthat::test_that("Check to see if gcalibrateC is getting the same result as GGIR g.calibrate", {
# skip_on_os(os = c("linux", "solaris"))
# Load Data
load(system.file("extdata/calibrationXaxis.RData", package = "agcounts"))
load(system.file("extdata/calibrationYaxis.RData", package = "agcounts"))
load(system.file("extdata/calibrationZaxis.RData", package = "agcounts"))
load(system.file("extdata/ggirCalibrate.RData", package = "agcounts"))
# Merge X, Y, and Z data together in a matrix
data <- as.matrix(cbind(X, Y, Z))
# Run the gcalibrateC C++ function to get calibration data
agC <- gcalibrateC(dataset = as.matrix(cbind(X, Y, Z)), sf = 30)
# Convert GGIR spheredata to a matrix to make it comparable to spheredata from gCalibrate
rownames(C$spheredata) <- NULL
C$spheredata <- as.matrix(C$spheredata)
# Tests
compare(agC$scale, C$scale, tolerance = 0.001)
compare(agC$offset, C$offset, tolerance = 0.001)
compare(agC$calErrorStart, C$cal.error.start, tolerance = 0.001)
compare(agC$calErrorEnd, C$cal.error.end, tolerance = 0.001)
expect_equal(agC$spheredata, C$spheredata)
expect_equal(agC$npoints, C$npoints)
expect_equal(agC$nhoursused, C$nhoursused)
})
testthat::test_that("Check to see if gcalibrateC can call in data by pathname and dataset", {
file <- system.file("extdata/example.gt3x", package = "agcounts")
raw <- read.gt3x(file)
sf <- .get_frequency(raw)
expect_equal(gcalibrateC(pathname = file, sf = sf), gcalibrateC(dataset = raw, sf = sf))
})
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