R/fStripChart.R
In thecomeonman/CodaBonito: Football / soccer related visualisations and analysis
#' Those charts with normailsed metric values and a bright mark indicating
#' where the PlayerName of interest lies
#'
#' @param dtPlayerMetrics A dataset with one row for each PlayerName, and various
#' metrics about the PlayerName declared in separate columns. Refer to the
#' dtPlayerMetrics dataset packaged with the library for an example
#' @param vcColumnsToIndex The non-metric columns in your dataset, these are
#' typically columns like name, age, team, position, etc.
#' @param dtMetricCategorisation A table with metadata about the variables in
#' dtPlayerMetrics. Refer to the `CodaBonito::dtMetricCategorisation` object
#' declared in the library for an example.
#' @param iPlayerId The ID of the player you want visualised
#' @param cTitle The title on the chart
#' @param vnExpand The X axis stretches between 0 and 1 but you need space on both
#' sides to fit the annotations. Specify what values the category label, the
#' stat value, and the comparison stat value should come at
#' @param compareWith, either 'median', another playerId, or NULL. If not null,
#' will add a second set of points for either the median or another player to
#' have some reference for the player you're looking at.
#' @examples
#' fStripChart (
#' dtPlayerMetrics,
#' vcColumnsToIndex = c('playerId','PlayerName','TeamName'),
#' dtMetricCategorisation,
#' iPlayerId = 2,
#' cTitle = 'Sample'
#' )
#' @import data.table
#' @import ggplot2
#' @import colorspace
#' @export
fStripChart = function (
dtPlayerMetrics,
vcColumnsToIndex,
dtMetricCategorisation,
iPlayerId,
cTitle,
cFontFamily = 'arial',
cPlayerColour = 'red',
cBackgroundColour = 'black',
cComparisonColour = 'white',
cNeutralColour = 'grey50',
vnExpand = c(-0.25, -0.03, 1.03, 1.1, 1.15),
bShrinkOtherPlayerPoints = T,
compareWith = 'median',
bDisplayCategories = T,
bDisplayValue = T
) {
setDT(dtPlayerMetrics)
setDT(dtMetricCategorisation)
viColumnNameOccurrence = table(
colnames(
dtPlayerMetrics
)
)
vcDuplicateColumnNames = names(
names(viColumnNameOccurrence)[
viColumnNameOccurrence > 1
]
)
if ( length(vcDuplicateColumnNames) > 0 ) {
stop(
paste0(
'Some column names are being used for multiple columns. ',
'Please have unique column names.\n',
'The offending column names are -',
paste0(
vcDuplicateColumnNames,
collapse = ', '
),
'\nPlease rename and try again.'
)
)
}
dtPlayerMetrics = melt(
dtPlayerMetrics,
id.vars = vcColumnsToIndex
)
dtPlayerMetrics = merge(
dtPlayerMetrics,
dtMetricCategorisation,
'variable'
)
dtPlayerMetrics[,
MappedValue := ( value - min(value) ) / ( max(value) - min(value) ),
variable
]
dtPlayerMetrics[
HighValueIsBad == T,
MappedValue := 1 - MappedValue
]
dtPlayerMetrics = dtPlayerMetrics[
order(
variableCategory, variableLabel
)
]
dtPlayerMetrics[,
variablePosition := cumsum(
c(
1,
(tail(variableLabel, -1) != head(variableLabel, -1)) +
(tail(variableCategory, -1) != head(variableCategory, -1))
)
)
]
dtPlayer = dtPlayerMetrics[get(vcColumnsToIndex[1]) == iPlayerId]
dtPlayerMetrics = dtPlayerMetrics[!get(vcColumnsToIndex[1]) == iPlayerId]
dtPlayerMetrics[, MappedValueAlternatingColour := ( ( (rank(MappedValue) / .N ) %/% 0.25 ) ), variable]
dtPlayerMetrics[MappedValueAlternatingColour == max(MappedValueAlternatingColour), MappedValueAlternatingColour := MappedValueAlternatingColour - 1]
p1 = ggplot(
# dtPlayerMetrics
) +
geom_segment(
data = dtPlayerMetrics[,
list(
variablePositionMin = min(variablePosition),
variablePositionMax = max(variablePosition),
x = seq(0, 1, 0.25)
)
],
aes(
y = variablePositionMin,
yend = variablePositionMax,
x = x,
xend = x
),
color = cNeutralColour,
alpha = 0.5
)
viMappedValueAlternatingColour = dtPlayerMetrics[, sort(unique(MappedValueAlternatingColour))]
for ( iMappedValueAlternatingColour in viMappedValueAlternatingColour ) {
p1 = p1 +
geom_jitter(
data = dtPlayerMetrics[MappedValueAlternatingColour == iMappedValueAlternatingColour],
aes(
x = MappedValue,
y = variablePosition
),
shape = 21,
# alpha = pmax(0.25, 5 / nrow(dtPlayerMetrics)),
color = lighten(cNeutralColour, ( 0.5 * ( iMappedValueAlternatingColour - median(viMappedValueAlternatingColour) ) ) / max(viMappedValueAlternatingColour)),
fill = NA,
size = ifelse(bShrinkOtherPlayerPoints, 1, 1),
height = ifelse(bShrinkOtherPlayerPoints, 0.25, 0.25),
)
}
if ( is.null(compareWith) ) {
dtComparison = dtPlayer[, list(median(MappedValue), median(value)), list(variableLabel)]
} else {
if ( compareWith == 'median' ) {
dtComparison = dtPlayerMetrics[, list(median(MappedValue), median(value)), list(variableLabel)]
} else if ( compareWith %in% dtPlayerMetrics[, get(vcColumnsToIndex[1])] ) {
dtComparison = dtPlayerMetrics[compareWith == get(vcColumnsToIndex[1]), list(median(MappedValue), median(value)), list(variableLabel)]
}
}
dtComparison = merge(
dtPlayer,
dtComparison,
'variableLabel'
)
dtComparison[, NumericLabel := '']
dtComparison[V1 == MappedValue, NumericLabel := round(value, 2)]
dtComparison[V1 != MappedValue, NumericLabel := paste0(round(value, 2), ' | ', round(V2, 2))]
p1 = p1 +
geom_segment(
data = dtComparison[ MappedValue < V1 ],
aes(
x = V1,
xend = MappedValue,
y = variablePosition,
yend = variablePosition
),
color = cComparisonColour,
size = 2,
alpha = 0.8
) +
geom_segment(
data = dtComparison[ MappedValue >= V1 ],
aes(
x = V1,
xend = MappedValue,
y = variablePosition,
yend = variablePosition
),
color = cPlayerColour,
size = 2,
alpha = 0.8
) +
geom_point(
data = dtComparison[ MappedValue >= V1 ],
aes(
x = MappedValue,
y = variablePosition
),
color = cPlayerColour,
size = 3
)
if ( compareWith == 'median' ) {
p1 = p1 +
geom_point(
data = dtComparison[ MappedValue < V1 ],
aes(
x = MappedValue,
y = variablePosition
),
# color = cPrimaryColour,
color = cComparisonColour,
size = 3
)
} else {
p1 = p1 +
geom_point(
data = dtComparison[ MappedValue < V1 ],
aes(
x = V1,
y = variablePosition
),
# color = cPrimaryColour,
color = cComparisonColour,
size = 3
) +
geom_point(
data = dtComparison[ MappedValue < V1 ],
aes(
x = MappedValue,
y = variablePosition
),
color = cPrimaryColour,
size = 3
) +
geom_point(
data = dtComparison[ MappedValue >= V1 ],
aes(
x = V1,
y = variablePosition
),
color = cComparisonColour,
size = 3
)
}
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue < V1,
list(
x = c(vnExpand[2]),
hjust = c(1),
# Label = c(NumericLabel, variableLabel)
Label = c(
variableLabel
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = cComparisonColour,
size = 5,
fontface = 'bold',
family = cFontFamily
) +
geom_text(
data = dtComparison[
MappedValue >= V1,
list(
x = c(vnExpand[2]),
hjust = c(1),
# Label = c(NumericLabel, variableLabel)
Label = c(
variableLabel
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = cPlayerColour,
size = 5,
fontface = 'bold',
family = cFontFamily
)
if ( bDisplayValue ) {
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue < V1,
list(
x = c(vnExpand[3]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = c(
paste0(c(round(value, ifelse(suffix == '%', 0, 2))), suffix)
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cComparisonColour,
cPrimaryColour
),
alpha = ifelse(
compareWith == 'median',
1,
0.4
),
# color = ifelse(
# compareWith == 'median',
# cComparisonColour,
# cNeutralColour
# ),
size = 5,
fontface = 'bold',
family = cFontFamily
) +
geom_text(
data = dtComparison[
MappedValue >= V1,
list(
x = c(vnExpand[3]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = c(
paste0(c(round(value, ifelse(suffix == '%', 0, 2))), suffix)
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cPrimaryColour,
cPrimaryColour
),
size = 5,
fontface = 'bold',
family = cFontFamily
)
if ( dtComparison[, any(V1 != MappedValue) ] ) {
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue < V1
][,
list(
x = c(vnExpand[4]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = paste0(c(round(V2, ifelse(suffix == '%', 0, 2))), suffix)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cNeutralColour,
cComparisonColour
),
size = 5,
fontface = 'bold',
family = cFontFamily
)
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue >= V1
][,
list(
x = c(vnExpand[4]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = paste0(c(round(V2, ifelse(suffix == '%', 0, 2))), suffix)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cNeutralColour,
cComparisonColour
),
alpha = ifelse(
compareWith == 'median',
1,
0.4
),
# color = ifelse(
# compareWith == 'median',
# cNeutralColour,
# cNeutralColour
# ),
size = 5,
fontface = 'bold',
family = cFontFamily
)
if ( compareWith %in% 'median' ) {
p1 = p1 +
geom_text(
aes(
x = vnExpand[4],
y = dtComparison[, max(variablePosition) + 0.6],
label = 'median'
),
hjust = 0,
color = cNeutralColour,
size = 3,
family = cFontFamily
)
}
}
}
if ( bDisplayCategories ) {
p1 = p1 +
geom_text(
data = dtComparison[, list(variablePosition = sum(range(variablePosition)) / 2, x = vnExpand[1]), variableCategory],
aes(
x = x,
y = variablePosition,
label = variableCategory
),
color = cNeutralColour,
size = 5,
fontface = 'bold',
family = cFontFamily,
angle = 90,
vjust = 1.1,
lineheight = 0.7
)
}
p1 = p1 +
scale_x_continuous(
breaks = c(0:10) / 10,
name = NULL,
limits = c(vnExpand[1], vnExpand[5]),
expand = expansion()
) +
scale_y_discrete(
# expand = c(0.2,0),
expand = expansion(mult = 0, add = c(0.5, 0.1)),
name = NULL
) +
theme(
panel.background = element_rect(fill = cBackgroundColour),
panel.border = element_blank(),
plot.background = element_rect(fill = cBackgroundColour),
panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
axis.line = element_blank(),
axis.ticks = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.title = element_blank(),
panel.spacing = unit(3, "lines"),
strip.placement = 'outside',
strip.background = element_blank(),
strip.text = element_blank(),
plot.title = element_text(
color = cNeutralColour,
size = 15,
hjust = 0.5,
margin = margin(15, 15, 15, 15),
face = 'bold',
family = cFontFamily
)
) +
labs(
title = cTitle
)
p1
}
thecomeonman/CodaBonito documentation built on April 24, 2023, 11:41 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
#' Those charts with normailsed metric values and a bright mark indicating
#' where the PlayerName of interest lies
#'
#' @param dtPlayerMetrics A dataset with one row for each PlayerName, and various
#' metrics about the PlayerName declared in separate columns. Refer to the
#' dtPlayerMetrics dataset packaged with the library for an example
#' @param vcColumnsToIndex The non-metric columns in your dataset, these are
#' typically columns like name, age, team, position, etc.
#' @param dtMetricCategorisation A table with metadata about the variables in
#' dtPlayerMetrics. Refer to the `CodaBonito::dtMetricCategorisation` object
#' declared in the library for an example.
#' @param iPlayerId The ID of the player you want visualised
#' @param cTitle The title on the chart
#' @param vnExpand The X axis stretches between 0 and 1 but you need space on both
#' sides to fit the annotations. Specify what values the category label, the
#' stat value, and the comparison stat value should come at
#' @param compareWith, either 'median', another playerId, or NULL. If not null,
#' will add a second set of points for either the median or another player to
#' have some reference for the player you're looking at.
#' @examples
#' fStripChart (
#' dtPlayerMetrics,
#' vcColumnsToIndex = c('playerId','PlayerName','TeamName'),
#' dtMetricCategorisation,
#' iPlayerId = 2,
#' cTitle = 'Sample'
#' )
#' @import data.table
#' @import ggplot2
#' @import colorspace
#' @export
fStripChart = function (
dtPlayerMetrics,
vcColumnsToIndex,
dtMetricCategorisation,
iPlayerId,
cTitle,
cFontFamily = 'arial',
cPlayerColour = 'red',
cBackgroundColour = 'black',
cComparisonColour = 'white',
cNeutralColour = 'grey50',
vnExpand = c(-0.25, -0.03, 1.03, 1.1, 1.15),
bShrinkOtherPlayerPoints = T,
compareWith = 'median',
bDisplayCategories = T,
bDisplayValue = T
) {
setDT(dtPlayerMetrics)
setDT(dtMetricCategorisation)
viColumnNameOccurrence = table(
colnames(
dtPlayerMetrics
)
)
vcDuplicateColumnNames = names(
names(viColumnNameOccurrence)[
viColumnNameOccurrence > 1
]
)
if ( length(vcDuplicateColumnNames) > 0 ) {
stop(
paste0(
'Some column names are being used for multiple columns. ',
'Please have unique column names.\n',
'The offending column names are -',
paste0(
vcDuplicateColumnNames,
collapse = ', '
),
'\nPlease rename and try again.'
)
)
}
dtPlayerMetrics = melt(
dtPlayerMetrics,
id.vars = vcColumnsToIndex
)
dtPlayerMetrics = merge(
dtPlayerMetrics,
dtMetricCategorisation,
'variable'
)
dtPlayerMetrics[,
MappedValue := ( value - min(value) ) / ( max(value) - min(value) ),
variable
]
dtPlayerMetrics[
HighValueIsBad == T,
MappedValue := 1 - MappedValue
]
dtPlayerMetrics = dtPlayerMetrics[
order(
variableCategory, variableLabel
)
]
dtPlayerMetrics[,
variablePosition := cumsum(
c(
1,
(tail(variableLabel, -1) != head(variableLabel, -1)) +
(tail(variableCategory, -1) != head(variableCategory, -1))
)
)
]
dtPlayer = dtPlayerMetrics[get(vcColumnsToIndex[1]) == iPlayerId]
dtPlayerMetrics = dtPlayerMetrics[!get(vcColumnsToIndex[1]) == iPlayerId]
dtPlayerMetrics[, MappedValueAlternatingColour := ( ( (rank(MappedValue) / .N ) %/% 0.25 ) ), variable]
dtPlayerMetrics[MappedValueAlternatingColour == max(MappedValueAlternatingColour), MappedValueAlternatingColour := MappedValueAlternatingColour - 1]
p1 = ggplot(
# dtPlayerMetrics
) +
geom_segment(
data = dtPlayerMetrics[,
list(
variablePositionMin = min(variablePosition),
variablePositionMax = max(variablePosition),
x = seq(0, 1, 0.25)
)
],
aes(
y = variablePositionMin,
yend = variablePositionMax,
x = x,
xend = x
),
color = cNeutralColour,
alpha = 0.5
)
viMappedValueAlternatingColour = dtPlayerMetrics[, sort(unique(MappedValueAlternatingColour))]
for ( iMappedValueAlternatingColour in viMappedValueAlternatingColour ) {
p1 = p1 +
geom_jitter(
data = dtPlayerMetrics[MappedValueAlternatingColour == iMappedValueAlternatingColour],
aes(
x = MappedValue,
y = variablePosition
),
shape = 21,
# alpha = pmax(0.25, 5 / nrow(dtPlayerMetrics)),
color = lighten(cNeutralColour, ( 0.5 * ( iMappedValueAlternatingColour - median(viMappedValueAlternatingColour) ) ) / max(viMappedValueAlternatingColour)),
fill = NA,
size = ifelse(bShrinkOtherPlayerPoints, 1, 1),
height = ifelse(bShrinkOtherPlayerPoints, 0.25, 0.25),
)
}
if ( is.null(compareWith) ) {
dtComparison = dtPlayer[, list(median(MappedValue), median(value)), list(variableLabel)]
} else {
if ( compareWith == 'median' ) {
dtComparison = dtPlayerMetrics[, list(median(MappedValue), median(value)), list(variableLabel)]
} else if ( compareWith %in% dtPlayerMetrics[, get(vcColumnsToIndex[1])] ) {
dtComparison = dtPlayerMetrics[compareWith == get(vcColumnsToIndex[1]), list(median(MappedValue), median(value)), list(variableLabel)]
}
}
dtComparison = merge(
dtPlayer,
dtComparison,
'variableLabel'
)
dtComparison[, NumericLabel := '']
dtComparison[V1 == MappedValue, NumericLabel := round(value, 2)]
dtComparison[V1 != MappedValue, NumericLabel := paste0(round(value, 2), ' | ', round(V2, 2))]
p1 = p1 +
geom_segment(
data = dtComparison[ MappedValue < V1 ],
aes(
x = V1,
xend = MappedValue,
y = variablePosition,
yend = variablePosition
),
color = cComparisonColour,
size = 2,
alpha = 0.8
) +
geom_segment(
data = dtComparison[ MappedValue >= V1 ],
aes(
x = V1,
xend = MappedValue,
y = variablePosition,
yend = variablePosition
),
color = cPlayerColour,
size = 2,
alpha = 0.8
) +
geom_point(
data = dtComparison[ MappedValue >= V1 ],
aes(
x = MappedValue,
y = variablePosition
),
color = cPlayerColour,
size = 3
)
if ( compareWith == 'median' ) {
p1 = p1 +
geom_point(
data = dtComparison[ MappedValue < V1 ],
aes(
x = MappedValue,
y = variablePosition
),
# color = cPrimaryColour,
color = cComparisonColour,
size = 3
)
} else {
p1 = p1 +
geom_point(
data = dtComparison[ MappedValue < V1 ],
aes(
x = V1,
y = variablePosition
),
# color = cPrimaryColour,
color = cComparisonColour,
size = 3
) +
geom_point(
data = dtComparison[ MappedValue < V1 ],
aes(
x = MappedValue,
y = variablePosition
),
color = cPrimaryColour,
size = 3
) +
geom_point(
data = dtComparison[ MappedValue >= V1 ],
aes(
x = V1,
y = variablePosition
),
color = cComparisonColour,
size = 3
)
}
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue < V1,
list(
x = c(vnExpand[2]),
hjust = c(1),
# Label = c(NumericLabel, variableLabel)
Label = c(
variableLabel
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = cComparisonColour,
size = 5,
fontface = 'bold',
family = cFontFamily
) +
geom_text(
data = dtComparison[
MappedValue >= V1,
list(
x = c(vnExpand[2]),
hjust = c(1),
# Label = c(NumericLabel, variableLabel)
Label = c(
variableLabel
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = cPlayerColour,
size = 5,
fontface = 'bold',
family = cFontFamily
)
if ( bDisplayValue ) {
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue < V1,
list(
x = c(vnExpand[3]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = c(
paste0(c(round(value, ifelse(suffix == '%', 0, 2))), suffix)
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cComparisonColour,
cPrimaryColour
),
alpha = ifelse(
compareWith == 'median',
1,
0.4
),
# color = ifelse(
# compareWith == 'median',
# cComparisonColour,
# cNeutralColour
# ),
size = 5,
fontface = 'bold',
family = cFontFamily
) +
geom_text(
data = dtComparison[
MappedValue >= V1,
list(
x = c(vnExpand[3]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = c(
paste0(c(round(value, ifelse(suffix == '%', 0, 2))), suffix)
)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cPrimaryColour,
cPrimaryColour
),
size = 5,
fontface = 'bold',
family = cFontFamily
)
if ( dtComparison[, any(V1 != MappedValue) ] ) {
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue < V1
][,
list(
x = c(vnExpand[4]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = paste0(c(round(V2, ifelse(suffix == '%', 0, 2))), suffix)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cNeutralColour,
cComparisonColour
),
size = 5,
fontface = 'bold',
family = cFontFamily
)
p1 = p1 +
geom_text(
data = dtComparison[
MappedValue >= V1
][,
list(
x = c(vnExpand[4]),
hjust = c(0),
# Label = c(NumericLabel, variableLabel)
Label = paste0(c(round(V2, ifelse(suffix == '%', 0, 2))), suffix)
),
list(variableCategory, variableLabel, variablePosition)
],
aes(
x = x,
y = variablePosition,
label = Label,
hjust = hjust
),
color = ifelse(
compareWith == 'median',
cNeutralColour,
cComparisonColour
),
alpha = ifelse(
compareWith == 'median',
1,
0.4
),
# color = ifelse(
# compareWith == 'median',
# cNeutralColour,
# cNeutralColour
# ),
size = 5,
fontface = 'bold',
family = cFontFamily
)
if ( compareWith %in% 'median' ) {
p1 = p1 +
geom_text(
aes(
x = vnExpand[4],
y = dtComparison[, max(variablePosition) + 0.6],
label = 'median'
),
hjust = 0,
color = cNeutralColour,
size = 3,
family = cFontFamily
)
}
}
}
if ( bDisplayCategories ) {
p1 = p1 +
geom_text(
data = dtComparison[, list(variablePosition = sum(range(variablePosition)) / 2, x = vnExpand[1]), variableCategory],
aes(
x = x,
y = variablePosition,
label = variableCategory
),
color = cNeutralColour,
size = 5,
fontface = 'bold',
family = cFontFamily,
angle = 90,
vjust = 1.1,
lineheight = 0.7
)
}
p1 = p1 +
scale_x_continuous(
breaks = c(0:10) / 10,
name = NULL,
limits = c(vnExpand[1], vnExpand[5]),
expand = expansion()
) +
scale_y_discrete(
# expand = c(0.2,0),
expand = expansion(mult = 0, add = c(0.5, 0.1)),
name = NULL
) +
theme(
panel.background = element_rect(fill = cBackgroundColour),
panel.border = element_blank(),
plot.background = element_rect(fill = cBackgroundColour),
panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
axis.line = element_blank(),
axis.ticks = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.title = element_blank(),
panel.spacing = unit(3, "lines"),
strip.placement = 'outside',
strip.background = element_blank(),
strip.text = element_blank(),
plot.title = element_text(
color = cNeutralColour,
size = 15,
hjust = 0.5,
margin = margin(15, 15, 15, 15),
face = 'bold',
family = cFontFamily
)
) +
labs(
title = cTitle
)
p1
}
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