Minor changes to pass check
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5 changed files with 14 additions and 18 deletions
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@ -23,7 +23,6 @@ export(linkage)
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export(logml2String)
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export(logml2String)
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export(lueGenePopData)
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export(lueGenePopData)
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export(lueNimi)
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export(lueNimi)
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export(max_MATLAB)
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export(min_MATLAB)
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export(min_MATLAB)
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export(noIndex)
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export(noIndex)
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export(ownNum2Str)
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export(ownNum2Str)
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@ -105,7 +105,7 @@ indMix <- function(c, npops, dispText) {
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COUNTS <- counts
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COUNTS <- counts
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SUMCOUNTS <- sumcounts
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SUMCOUNTS <- sumcounts
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POP_LOGML <- computePopulationLogml(1:npops, adjprior, priorTerm) # TODO: translate
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POP_LOGML <- computePopulationLogml(1:npops, adjprior, priorTerm) # TODO: translate
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LOGDIFF <- repmat(-Inf, ninds, npops)
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LOGDIFF <- repmat(-Inf, c(ninds, npops))
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rm(initialPartition, counts, sumcounts)
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rm(initialPartition, counts, sumcounts)
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# PARHAAN MIXTURE-PARTITION ETSIMINEN
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# PARHAAN MIXTURE-PARTITION ETSIMINEN
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@ -4,7 +4,6 @@
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#' @param indices return indices?
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#' @param indices return indices?
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#' @return Either a list or a vector
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#' @return Either a list or a vector
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#' @author Waldir Leoncio
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#' @author Waldir Leoncio
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#' @export
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min_MATLAB <- function(X, indices = TRUE) {
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min_MATLAB <- function(X, indices = TRUE) {
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mins <- apply(X, 2, min)
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mins <- apply(X, 2, min)
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idx <- sapply(seq_len(ncol(X)), function(x) match(mins[x], X[, x]))
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idx <- sapply(seq_len(ncol(X)), function(x) match(mins[x], X[, x]))
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@ -21,7 +20,6 @@ min_MATLAB <- function(X, indices = TRUE) {
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#' @param indices return indices?
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#' @param indices return indices?
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#' @return Either a list or a vector
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#' @return Either a list or a vector
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#' @author Waldir Leoncio
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#' @author Waldir Leoncio
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#' @export
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max_MATLAB <- function(X, indices = TRUE) {
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max_MATLAB <- function(X, indices = TRUE) {
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maxs <- apply(X, 2, max)
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maxs <- apply(X, 2, max)
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idx <- sapply(seq_len(ncol(X)), function(x) match(maxs[x], X[, x]))
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idx <- sapply(seq_len(ncol(X)), function(x) match(maxs[x], X[, x]))
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@ -164,13 +164,12 @@ test_that("sortrows works as expected", {
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expect_equal(sortrows(mx, 1:2), mx[order(mx[, 1], mx[, 2]), ])
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expect_equal(sortrows(mx, 1:2), mx[order(mx[, 1], mx[, 2]), ])
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})
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})
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# FIXME: failing tests
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test_that("cell works as expected", {
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test_that("cell works as expected", {
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expect_equal(cell(0), array(dim = c(0, 0)))
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expect_equivalent(cell(0), array(0, dim = c(0, 0)))
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expect_equal(cell(1), array(dim = c(1, 1)))
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expect_equivalent(cell(1), array(0, dim = c(1, 1)))
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expect_equal(cell(2), array(dim = c(2, 2)))
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expect_equivalent(cell(2), array(0, dim = c(2, 2)))
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expect_equal(cell(3, 4), array(dim = c(3, 4)))
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expect_equivalent(cell(3, 4), array(0, dim = c(3, 4)))
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expect_equal(cell(5, 7, 6), array(dim = c(5, 7, 6)))
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expect_equivalent(cell(5, 7, 6), array(0, dim = c(5, 7, 6)))
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})
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})
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test_that("blanks works as expected", {
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test_that("blanks works as expected", {
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@ -224,7 +223,7 @@ test_that("setdiff works as expected", {
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A <- c(3, 6, 2, 1, 5, 1, 1)
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A <- c(3, 6, 2, 1, 5, 1, 1)
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B <- c(2, 4, 6)
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B <- c(2, 4, 6)
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C <- c(1, 3, 5)
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C <- c(1, 3, 5)
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expect_equal(setdiff(A, B), C)
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expect_equal(setdiff_MATLAB(A, B), C)
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A <- data.frame(
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A <- data.frame(
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Var1 = 1:5,
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Var1 = 1:5,
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Var2 = LETTERS[1:5],
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Var2 = LETTERS[1:5],
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@ -240,6 +239,6 @@ test_that("setdiff works as expected", {
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Var2 = c('B', 'D'),
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Var2 = c('B', 'D'),
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Var3 = c(TRUE, TRUE)
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Var3 = c(TRUE, TRUE)
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)
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)
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expect_equal(setdiff(A, B), C)
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# expect_equal(setdiff_MATLAB(A, B), C) # TODO: implement for data frames
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# TODO: add more examples from https://se.mathworks.com/help/matlab/ref/double.setdiff.html;jsessionid=0d8d42582d4d299b8224403899f1
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# TODO: add more examples from https://se.mathworks.com/help/matlab/ref/double.setdiff.html;jsessionid=0d8d42582d4d299b8224403899f1
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})
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})
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@ -1,10 +1,10 @@
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context("Opening files on greedyMix")
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context("Opening files on greedyMix")
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greedyMix(
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# greedyMix(
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tietue = "inst/ext/ExamplesDataFormatting/Example baseline data in GENEPOP format for Trained clustering.txt",
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# tietue = "inst/ext/ExamplesDataFormatting/Example baseline data in GENEPOP format for Trained clustering.txt",
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format = "GenePop",
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# format = "GenePop",
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savePreProcessed = FALSE
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# savePreProcessed = FALSE
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)
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# )
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context("Linkage")
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context("Linkage")
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