library(testthat)
# most common expectations:
# equality: expect_equal() and expect_identical()
# regexp: expect_match()
# catch-all: expect_true() and expect_false()
# console output: expect_output()
# messages: expect_message()
# warning: expect_warning()
# errors: expect_error()
escapeString <- function(s) {
t <- gsub("(\\\\)", "\\\\\\\\", s)
t <- gsub("(\n)", "\\\\n", t)
t <- gsub("(\r)", "\\\\r", t)
t <- gsub("(\")", "\\\\\"", t)
return(t)
}
prepStr <- function(s) {
t <- escapeString(s)
u <- eval(parse(text=paste0("\"", t, "\"")))
if(s!=u) stop("Unable to escape string!")
t <- paste0("\thtml <- \"", t, "\"")
utils::writeClipboard(t)
return(invisible())
}
evaluationMode <- "sequential"
processingLibrary <- "dplyr"
description <- "test: sequential dplyr"
countFunction <- "n()"
isDevelopmentVersion <- (length(strsplit(packageDescription("pivottabler")$Version, "\\.")[[1]]) > 3)
testScenarios <- function(description="test", releaseEvaluationMode="batch", releaseProcessingLibrary="dplyr", runAllForReleaseVersion=FALSE) {
isDevelopmentVersion <- (length(strsplit(packageDescription("pivottabler")$Version, "\\.")[[1]]) > 3)
if(isDevelopmentVersion||runAllForReleaseVersion) {
evaluationModes <- c("sequential", "batch")
processingLibraries <- c("dplyr", "data.table")
}
else {
evaluationModes <- releaseEvaluationMode
processingLibraries <- releaseProcessingLibrary
}
testCount <- length(evaluationModes)*length(processingLibraries)
c1 <- character(testCount)
c2 <- character(testCount)
c3 <- character(testCount)
c4 <- character(testCount)
testCount <- 0
for(evaluationMode in evaluationModes)
for(processingLibrary in processingLibraries) {
testCount <- testCount + 1
c1[testCount] <- evaluationMode
c2[testCount] <- processingLibrary
c3[testCount] <- paste0(description, ": ", evaluationMode, " ", processingLibrary)
c4[testCount] <- ifelse(processingLibrary=="data.table", ".N", "n()")
}
df <- data.frame(evaluationMode=c1, processingLibrary=c2, description=c3, countFunction=c4, stringsAsFactors=FALSE)
return(df)
}
context("PIVOT ROW/COLUMN TESTS")
scenarios <- testScenarios("pvt row/col tests: get empty rows")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC", fromData=FALSE,
explicitListOfValues=list("Arriva Trains Wales", "CrossCountry",
"South West Trains", "Southern", "Virgin Trains"))
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# sum(pt$getEmptyRows())
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n | \n | \n | \n
\n \n \n | \n | \n | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 238282)
expect_equal(sum(pt$getEmptyRows()), 7)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: get empty columns")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory", fromData=FALSE,
explicitListOfValues=list("Express Passenger",
"Empty Coaching Stock",
"Ordinary Passenger"))
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# sum(pt$getEmptyColumns())
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Empty Coaching Stock | \n Ordinary Passenger | \n Total | \n
\n \n \n | 3079 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22865 | \n | \n 63 | \n 22928 | \n
\n \n \n | 14487 | \n | \n 33792 | \n 48279 | \n
\n \n \n | 8594 | \n | \n | \n 8594 | \n
\n \n \n | 49025 | \n | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 334840)
expect_equal(sum(pt$getEmptyColumns()), 2)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove row (single level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC", fromData=FALSE,
explicitListOfValues=list("Arriva Trains Wales", "CrossCountry",
"South West Trains", "Southern", "Virgin Trains"))
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeRow(3)
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n | \n | \n | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 238282)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove rows (multi-level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode, compatibility=list(noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC")
pt$addRowDataGroups("PowerType", onlyCombinationsThatExist=FALSE)
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeRows(c(2, 3, 6, 11, 15))
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n \n | 22133 | \n 63 | \n 22196 | \n
\n \n \n | 732 | \n | \n 732 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n \n | 5638 | \n 5591 | \n 11229 | \n
\n \n \n | 8849 | \n 28201 | \n 37050 | \n
\n \n \n | 14487 | \n 33792 | \n 48279 | \n
\n \n \n \n | 2137 | \n | \n 2137 | \n
\n \n \n | 6457 | \n | \n 6457 | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove empty rows (single-level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC", fromData=FALSE,
explicitListOfValues=list("Arriva Trains Wales", "CrossCountry",
"South West Trains", "Southern", "Virgin Trains"))
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeEmptyRows()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 238282)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove empty rows (multi-level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode, compatibility=list(noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addRowDataGroups("TOC")
pt$addRowDataGroups("PowerType", onlyCombinationsThatExist=FALSE)
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeEmptyRows()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n \n | 22133 | \n 63 | \n 22196 | \n
\n \n \n | 732 | \n | \n 732 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n \n | 5638 | \n 5591 | \n 11229 | \n
\n \n \n | 8849 | \n 28201 | \n 37050 | \n
\n \n \n | 14487 | \n 33792 | \n 48279 | \n
\n \n \n \n | 2137 | \n | \n 2137 | \n
\n \n \n | 6457 | \n | \n 6457 | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove column (single level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TOC", fromData=FALSE,
explicitListOfValues=list("Arriva Trains Wales", "CrossCountry",
"South West Trains", "Southern", "Virgin Trains"))
pt$addRowDataGroups("TrainCategory")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeColumn(3)
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Arriva Trains Wales | \n CrossCountry | \n Southern | \n Virgin Trains | \n Total | \n
\n \n \n | 3079 | \n 22865 | \n | \n 8594 | \n 49025 | \n
\n \n \n | 830 | \n 63 | \n | \n | \n 34685 | \n
\n \n \n | 3909 | \n 22928 | \n | \n 8594 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 238282)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove columns (multi-level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode, compatibility=list(noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TOC")
pt$addColumnDataGroups("PowerType", onlyCombinationsThatExist=FALSE)
pt$addRowDataGroups("TrainCategory")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeColumns(c(2, 3, 6, 11, 15))
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Arriva Trains Wales | \n CrossCountry | \n London Midland | \n Virgin Trains | \n Total | \n
\n \n | DMU | \n Total | \n DMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n 3079 | \n 22133 | \n 732 | \n 22865 | \n 5638 | \n 8849 | \n 14487 | \n 2137 | \n 6457 | \n 8594 | \n 49025 | \n
\n \n \n | 830 | \n 830 | \n 63 | \n | \n 63 | \n 5591 | \n 28201 | \n 33792 | \n | \n | \n | \n 34685 | \n
\n \n \n | 3909 | \n 3909 | \n 22196 | \n 732 | \n 22928 | \n 11229 | \n 37050 | \n 48279 | \n 2137 | \n 6457 | \n 8594 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove empty columns (single-level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TOC", fromData=FALSE,
explicitListOfValues=list("Arriva Trains Wales", "CrossCountry",
"South West Trains", "Southern", "Virgin Trains"))
pt$addRowDataGroups("TrainCategory")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeEmptyColumns()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Arriva Trains Wales | \n CrossCountry | \n Virgin Trains | \n Total | \n
\n \n \n | 3079 | \n 22865 | \n 8594 | \n 49025 | \n
\n \n \n | 830 | \n 63 | \n | \n 34685 | \n
\n \n \n | 3909 | \n 22928 | \n 8594 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 238282)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: remove empty columns (multi-level)")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode, compatibility=list(noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TOC")
pt$addColumnDataGroups("PowerType", onlyCombinationsThatExist=FALSE)
pt$addRowDataGroups("TrainCategory")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
pt$removeEmptyColumns()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Arriva Trains Wales | \n CrossCountry | \n London Midland | \n Virgin Trains | \n Total | \n
\n \n | DMU | \n Total | \n DMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n 3079 | \n 22133 | \n 732 | \n 22865 | \n 5638 | \n 8849 | \n 14487 | \n 2137 | \n 6457 | \n 8594 | \n 49025 | \n
\n \n \n | 830 | \n 830 | \n 63 | \n | \n 63 | \n 5591 | \n 28201 | \n 33792 | \n | \n | \n | \n 34685 | \n
\n \n \n | 3909 | \n 3909 | \n 22196 | \n 732 | \n 22928 | \n 11229 | \n 37050 | \n 48279 | \n 2137 | \n 6457 | \n 8594 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("pvt row/col tests: vectorised methods")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
skip_on_cran()
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode, compatibility=list(noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$addRowDataGroups("Status")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n \n | 3018 | \n | \n | \n 3018 | \n 815 | \n | \n 815 | \n 3833 | \n
\n \n \n | 59 | \n | \n | \n 59 | \n 15 | \n | \n 15 | \n 74 | \n
\n \n \n | 2 | \n | \n | \n 2 | \n | \n | \n | \n 2 | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n \n | 21561 | \n | \n 709 | \n 22270 | \n 60 | \n | \n 60 | \n 22330 | \n
\n \n \n | 546 | \n | \n 23 | \n 569 | \n 2 | \n | \n 2 | \n 571 | \n
\n \n \n | 26 | \n | \n | \n 26 | \n 1 | \n | \n 1 | \n 27 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n \n | 5534 | \n 8599 | \n | \n 14133 | \n 5520 | \n 27331 | \n 32851 | \n 46984 | \n
\n \n \n | 101 | \n 235 | \n | \n 336 | \n 67 | \n 847 | \n 914 | \n 1250 | \n
\n \n \n | 3 | \n 15 | \n | \n 18 | \n 4 | \n 23 | \n 27 | \n 45 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n \n | 2028 | \n 6331 | \n | \n 8359 | \n | \n | \n | \n 8359 | \n
\n \n \n | 107 | \n 119 | \n | \n 226 | \n | \n | \n | \n 226 | \n
\n \n \n | 2 | \n 7 | \n | \n 9 | \n | \n | \n | \n 9 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 753390)
expect_identical(as.character(pt$getHtml()), html)
fx <- function(x) { x$caption }
gx <- function(x) {
captions <- lapply(unlist(x), fx)
paste(captions, collapse=" ")
}
grps <- pt$getColumnGroupsByLevel(c(1, 2))
text <- "Express Passenger Ordinary Passenger Total DMU EMU HST Total DMU EMU Total "
expect_equal(length(grps), 2)
expect_identical(gx(grps), text)
grps <- pt$getColumnGroupsByLevel(c(1, 2), collapse=TRUE)
text <- "Express Passenger Ordinary Passenger Total DMU EMU HST Total DMU EMU Total "
expect_equal(length(grps), 11)
expect_identical(gx(grps), text)
levels <- pt$findGroupColumnNumbers(grps, collapse=TRUE)
expect_equal(length(levels), 8)
expect_equal(sum(levels), 36)
grps <- pt$getLeafColumnGroup(c(2, 4, 7))
text <- "EMU Total Total"
expect_equal(length(grps), 3)
expect_identical(gx(grps), text)
levels <- pt$findGroupColumnNumbers(grps)
expect_equal(length(levels), 3)
expect_equal(sum(unlist(levels)), 13)
levels <- pt$findGroupColumnNumbers(grps, collapse=TRUE)
expect_equal(length(levels), 3)
expect_equal(sum(levels), 13)
grps <- pt$getRowGroupsByLevel(c(1, 2))
text <- "Arriva Trains Wales CrossCountry London Midland Virgin Trains Total A C R Total A C R Total A C R Total A C R Total "
expect_equal(length(grps), 2)
expect_identical(gx(grps), text)
grps <- pt$getRowGroupsByLevel(c(1, 2), collapse=TRUE)
text <- "Arriva Trains Wales CrossCountry London Midland Virgin Trains Total A C R Total A C R Total A C R Total A C R Total "
expect_equal(length(grps), 22)
expect_identical(gx(grps), text)
levels <- pt$findGroupRowNumbers(grps, collapse=TRUE)
expect_equal(length(levels), 17)
expect_equal(sum(levels), 153)
grps <- pt$getLeafRowGroup(c(2, 4, 7))
text <- "C Total R"
expect_equal(length(grps), 3)
expect_identical(gx(grps), text)
levels <- pt$findGroupRowNumbers(grps)
expect_equal(length(levels), 3)
expect_equal(sum(unlist(levels)), 13)
levels <- pt$findGroupRowNumbers(grps, collapse=TRUE)
expect_equal(length(levels), 3)
expect_equal(sum(levels), 13)
})
}