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("IRREGULAR LAYOUT TESTS")
scenarios <- testScenarios("irregular layout tests: simple example")
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$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE))
pt$addData(bhmtrains)
pt$columnGroup$addChildGroup(variableName="TrainCategory", values="Express Passenger")
pt$columnGroup$addChildGroup(variableName="PowerType", values="DMU")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n DMU | \n
\n \n \n | 3079 | \n 3909 | \n
\n \n \n | 22865 | \n 22196 | \n
\n \n \n | 14487 | \n 11229 | \n
\n \n \n | 8594 | \n 2137 | \n
\n \n \n | 49025 | \n 39471 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 176992)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: two-level example A")
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$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE))
pt$addData(bhmtrains)
cg1 <- pt$columnGroup$addChildGroup(variableName="TrainCategory", values="Express Passenger")
cg2 <- pt$columnGroup$addChildGroup(variableName="PowerType", values="DMU")
cg1$addChildGroup(variableName="Status", values="A")
cg1$addChildGroup(variableName="Status", values="R")
cg2$addChildGroup(variableName="SchedSpeedMPH", values="100")
pt$addRowDataGroups("TOC")
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 DMU | \n
\n \n | A | \n R | \n 100 | \n
\n \n \n | 3018 | \n 2 | \n | \n
\n \n \n | 22270 | \n 26 | \n 11024 | \n
\n \n \n | 14133 | \n 18 | \n 2723 | \n
\n \n \n | 8359 | \n 9 | \n | \n
\n \n \n | 47780 | \n 55 | \n 13747 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 123164)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: two-level example B")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$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(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
cg1 <- pt$columnGroup$addChildGroup(variableName="TrainCategory", values="Express Passenger")
cg2 <- pt$columnGroup$addChildGroup(variableName="PowerType", values="DMU")
cg1$addDataGroups("Status")
cg2$addDataGroups("SchedSpeedMPH")
pt$addRowDataGroups("TOC")
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 DMU | \n
\n \n | A | \n C | \n R | \n Total | \n 75 | \n 90 | \n 100 | \n 125 | \n NA | \n Total | \n
\n \n \n | 3018 | \n 59 | \n 2 | \n 3079 | \n 121 | \n 3761 | \n | \n | \n 27 | \n 3909 | \n
\n \n \n | 22270 | \n 569 | \n 26 | \n 22865 | \n | \n | \n 11024 | \n 11040 | \n 132 | \n 22196 | \n
\n \n \n | 14133 | \n 336 | \n 18 | \n 14487 | \n 6104 | \n 2399 | \n 2723 | \n | \n 3 | \n 11229 | \n
\n \n \n | 8359 | \n 226 | \n 9 | \n 8594 | \n | \n | \n | \n 2135 | \n 2 | \n 2137 | \n
\n \n \n | 47780 | \n 1190 | \n 55 | \n 49025 | \n 6225 | \n 6160 | \n 13747 | \n 13175 | \n 164 | \n 39471 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 353984)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: two-level example C")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$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(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
cgrps <- pt$addColumnDataGroups("PowerType")
add2Groups <- function(grp) {
if(!grp$isTotal) {
grp$addChildGroup(variableName="Status", values="A")
grp$addChildGroup(variableName="Status", values="R")
}
}
invisible(lapply(cgrps, add2Groups))
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n | A | \n R | \n A | \n R | \n A | \n R | \n | \n A | \n R | \n A | \n R | \n | \n | \n
\n \n \n | 3018 | \n 2 | \n | \n | \n | \n | \n 3079 | \n 815 | \n | \n | \n | \n 830 | \n 3909 | \n
\n \n \n | 21561 | \n 26 | \n | \n | \n 709 | \n | \n 22865 | \n 60 | \n 1 | \n | \n | \n 63 | \n 22928 | \n
\n \n \n | 5534 | \n 3 | \n 8599 | \n 15 | \n | \n | \n 14487 | \n 5520 | \n 4 | \n 27331 | \n 23 | \n 33792 | \n 48279 | \n
\n \n \n | 2028 | \n 2 | \n 6331 | \n 7 | \n | \n | \n 8594 | \n | \n | \n | \n | \n | \n 8594 | \n
\n \n \n | 32141 | \n 33 | \n 14930 | \n 22 | \n 709 | \n | \n 49025 | \n 6395 | \n 5 | \n 27331 | \n 23 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 498018)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: empty groups")
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$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE))
pt$addData(bhmtrains)
cg1 <- pt$columnGroup$addChildGroup(variableName="TrainCategory", values="Express Passenger")
cg2 <- pt$columnGroup$addChildGroup(variableName="PowerType", values="DMU")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$defineCalculation(calculationGroupName="calcGrp2", calculationName="MaxSpeedMPH",
summariseExpression="max(SchedSpeedMPH, na.rm=TRUE)")
cg3 <- cg1$addChildGroup(caption="Count")
cg4 <- cg2$addChildGroup(caption="Maximum Speed")
cg3$addCalculationGroups("default")
cg4$addCalculationGroups("calcGrp2")
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n DMU | \n
\n \n | Count | \n Maximum Speed | \n
\n \n \n | 3079 | \n 90 | \n
\n \n \n | 22865 | \n 125 | \n
\n \n \n | 14487 | \n 100 | \n
\n \n \n | 8594 | \n 125 | \n
\n \n \n | 49025 | \n 125 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 98615)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: adding and removing individual groups")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$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")
grps <- pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$rowGroup$addChildGroup(caption="Test 1a", insertAtIndex=3, isEmpty=TRUE)
pt$rowGroup$addChildGroup(caption="Test 1b", insertAtIndex=4, isEmpty=TRUE, mergeEmptySpace="doNotMerge")
pt$rowGroup$addChildGroup(caption="Test 1c", insertAtIndex=5)
pt$rowGroup$addChildGroup(caption="Test 2", insertBefore=grps[[3]])
pt$rowGroup$addChildGroup(caption="Test 3", insertAfter=grps[[3]])
grp <- pt$rowGroup$addChildGroup(caption="Test 4", insertAfter=grps[[4]])
grp$removeGroup()
pt$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 \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 | 49025 | \n 34685 | \n 83710 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n \n \n | 14487 | \n 33792 | \n 48279 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \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), 837100)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: combine pivot 1")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$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")
# Rows: TOC breakdown
grp1 <- pt$addRowGroup(caption="By TOC")
grp1$addDataGroups("TOC", addTotal=FALSE)
# Rows: Power Type breakdown
grp2 <- pt$addRowGroup(caption="By Power Type")
grp2$addDataGroups("PowerType", addTotal=FALSE)
# Rows: Total
grp3 <- pt$addRowGroup(caption="Total")
# Row Group Headings
pt$setRowDataGroupHeader(levelNumber=1, header="Breakdown")
pt$setRowDataGroupHeader(levelNumber=2, header="Subset")
# Finish...
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$theme <- getStandardTableTheme(pt)
pt$evaluatePivot()
# pt$renderPivot(showRowGroupHeaders=TRUE)
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml(showRowGroupHeaders=TRUE)))
html <- "\n \n | Breakdown | \n Subset | \n Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | By TOC | \n Arriva Trains Wales | \n 3079 | \n 830 | \n 3909 | \n
\n \n | CrossCountry | \n 22865 | \n 63 | \n 22928 | \n
\n \n | London Midland | \n 14487 | \n 33792 | \n 48279 | \n
\n \n | Virgin Trains | \n 8594 | \n | \n 8594 | \n
\n \n | By Power Type | \n DMU | \n 32987 | \n 6484 | \n 39471 | \n
\n \n | EMU | \n 15306 | \n 28201 | \n 43507 | \n
\n \n | HST | \n 732 | \n | \n 732 | \n
\n \n | Total | \n | \n 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml(showRowGroupHeaders=TRUE)), html)
})
}
scenarios <- testScenarios("irregular layout tests: combine pivot 2")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$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")
# Rows: TOC breakdown
grp1a <- pt$addRowGroup(caption="By TOC", isOutline=TRUE, isEmpty=TRUE, sortAnchor="next", styleDeclarations=list(color="blue"))
grp1b <- pt$addRowGroup()
grp1b$addDataGroups("TOC", addTotal=FALSE)
# Rows: Power Type breakdown
grp2a <- pt$addRowGroup(caption="By Power Type", isOutline=TRUE, isEmpty=TRUE, sortAnchor="next", styleDeclarations=list(color="blue"))
grp2b <- pt$addRowGroup()
grp2b$addDataGroups("PowerType", addTotal=FALSE)
# Rows: Total
grp3 <- pt$addRowGroup(caption="Total", isOutline=TRUE, styleDeclarations=list(color="blue"))
# Finish...
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n \n | | \n
\n \n \n \n | 3079 | \n 830 | \n 3909 | \n
\n \n \n | 22865 | \n 63 | \n 22928 | \n
\n \n \n | 14487 | \n 33792 | \n 48279 | \n
\n \n \n | 8594 | \n | \n 8594 | \n
\n \n \n | | \n
\n \n \n \n | 32987 | \n 6484 | \n 39471 | \n
\n \n \n | 15306 | \n 28201 | \n 43507 | \n
\n \n \n | 732 | \n | \n 732 | \n
\n \n \n | 49025 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: combine pivot 3")
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, {
gender <- c("F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M")
age <- c(19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22)
grade <- c("A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E")
counts <- c(6, 16, 56, 37, 213, 14, 21, 61, 45, 191, 30, 54, 74, 82, 246, 91, 46, 29, 71, 296, 3, 6, 21, 35, 162, 14, 11, 29, 22, 204, 15, 30, 49, 75, 253, 45, 22, 30, 30, 319)
df <- data.frame(gender, age, grade, counts)
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(df)
pt$addColumnDataGroups("grade")
pt$addRowGroup(caption="Age", isEmpty=TRUE, isOutline=TRUE, styleDeclarations=list(color="blue"))
pt$addRowDataGroups("age", atLevel=1)
pt$addRowGroup(caption="Gender", isEmpty=TRUE, isOutline=TRUE, styleDeclarations=list(color="blue"))
pt$addRowDataGroups("gender", atLevel=1)
pt$defineCalculation(calculationName="GradeCounts", summariseExpression="sum(counts)")
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | A | \n B | \n C | \n D | \n E | \n Total | \n
\n \n \n | | \n
\n \n \n | 9 | \n 22 | \n 77 | \n 72 | \n 375 | \n 555 | \n
\n \n \n | 28 | \n 32 | \n 90 | \n 67 | \n 395 | \n 612 | \n
\n \n \n | 45 | \n 84 | \n 123 | \n 157 | \n 499 | \n 908 | \n
\n \n \n | 136 | \n 68 | \n 59 | \n 101 | \n 615 | \n 979 | \n
\n \n \n | 218 | \n 206 | \n 349 | \n 397 | \n 1884 | \n 3054 | \n
\n \n \n | | \n
\n \n \n | 141 | \n 137 | \n 220 | \n 235 | \n 946 | \n 1679 | \n
\n \n \n | 77 | \n 69 | \n 129 | \n 162 | \n 938 | \n 1375 | \n
\n \n \n | 218 | \n 206 | \n 349 | \n 397 | \n 1884 | \n 3054 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 24432)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("irregular layout tests: combine pivot 4")
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, {
gender <- c("F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "F", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M", "M")
age <- c(19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22)
grade <- c("A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E", "A", "B", "C", "D", "E")
counts <- c(6, 16, 56, 37, 213, 14, 21, 61, 45, 191, 30, 54, 74, 82, 246, 91, 46, 29, 71, 296, 3, 6, 21, 35, 162, 14, 11, 29, 22, 204, 15, 30, 49, 75, 253, 45, 22, 30, 30, 319)
df <- data.frame(gender, age, grade, counts)
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(df)
pt$addColumnDataGroups("grade")
pt$addRowGroup(caption="Age", isEmpty=TRUE, isOutline=TRUE, styleDeclarations=list(color="blue"))
pt$addRowDataGroups("age", atLevel=1, addTotal=FALSE)
pt$addRowGroup(caption="Gender", isEmpty=TRUE, isOutline=TRUE, styleDeclarations=list(color="blue"))
pt$addRowDataGroups("gender", atLevel=1, addTotal=FALSE)
pt$defineCalculation(calculationName="GradeCounts", summariseExpression="sum(counts)")
pt$addRowGroup(caption="Total", isOutline=TRUE, isTotal=TRUE, isLevelTotal=TRUE,
styleDeclarations=list(color="blue"), cellStyleDeclarations=list(color="blue"))
pt$evaluatePivot()
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | A | \n B | \n C | \n D | \n E | \n Total | \n
\n \n \n | | \n
\n \n \n | 9 | \n 22 | \n 77 | \n 72 | \n 375 | \n 555 | \n
\n \n \n | 28 | \n 32 | \n 90 | \n 67 | \n 395 | \n 612 | \n
\n \n \n | 45 | \n 84 | \n 123 | \n 157 | \n 499 | \n 908 | \n
\n \n \n | 136 | \n 68 | \n 59 | \n 101 | \n 615 | \n 979 | \n
\n \n \n | | \n
\n \n \n | 141 | \n 137 | \n 220 | \n 235 | \n 946 | \n 1679 | \n
\n \n \n | 77 | \n 69 | \n 129 | \n 162 | \n 938 | \n 1375 | \n
\n \n \n | 218 | \n 206 | \n 349 | \n 397 | \n 1884 | \n 3054 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 18324)
expect_identical(as.character(pt$getHtml()), html)
})
}