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RS-19884: Export Price Sensitivity Meter as a chart when the default PowerPoint export format is Microsoft chart #21

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Merged
JamieMorris1 merged 1 commit into from
Oct 5, 2026
Merged

RS-19884: Export Price Sensitivity Meter as a chart when the default PowerPoint export format is Microsoft chart #21

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2 changes: 1 addition & 1 deletion DESCRIPTION
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
Package: flipStartup
Type: Package
Title: Analytics for startups
Version: 1.3.5
Version: 1.3.6
Author: Displayr <opensource@displayr.com>
Maintainer: Displayr <opensource@displayr.com>
Description: Various analytics to assist in the analysis of the performance of startups.
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3 changes: 3 additions & 0 deletions R/pricesensitivitymeter.R
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Expand Up @@ -367,6 +367,9 @@ PriceSensitivityMeter <- function(x,
edits = list(annotationPosition = FALSE, annotationText = FALSE,
axisTitleText = FALSE, titleText = FALSE, legendText = FALSE))
attr(pp, "ChartData") <- psm.dat
# ChartSettings lets Displayr export an editable chart when the PowerPoint format is Default.
# Once ChartSettings is present, Displayr shows data labels on each series unless ShowDataLabels is FALSE.
attr(pp, "ChartSettings") <- list(TemplateSeries = rep(list(list(ShowDataLabels = FALSE)), NCOL(psm.dat)))
return(pp)
}

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15 changes: 15 additions & 0 deletions tests/testthat/test-pricesensitivitymeter.R
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Expand Up @@ -231,3 +231,18 @@ test_that("PSM with two axes",
y2.title.font.family = "Courier New", y2.title.font.color = "#0000FF",
y2.bounds.minimum = 0.5, y2.bounds.maximum = 5, y2.title = "R"), NA)
})

test_that("ChartSettings hides data labels on every exported series",
{
expectLabelsHidden <- function(psm, info)
{
template.series <- attr(psm, "ChartSettings")$TemplateSeries
expect_length(template.series, NCOL(attr(psm, "ChartData")))
expect_true(all(vapply(template.series, function(s) identical(s$ShowDataLabels, FALSE), logical(1))),
info = info)
}
expectLabelsHidden(PriceSensitivityMeter(dat), "four price columns")
for (output in c("Attitude of respondents", "Likelihood to buy", "Revenue",
"Likelihood to buy and Revenue"))
expectLabelsHidden(PriceSensitivityMeter(data.with.likelihoods, output = output), output)
})
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