require(flipPictographs)
# Handling a vector of factors
# K is set to be the length of the factor excluding NAs
# This is appropriate for both pick-one questions
f1 <- factor(sample(1:4, size=150, replace=T), labels=c("None", "Some", "Mostly", "All"))
pf1 <- PictoStdChart(f1)
pf1b <- PictoStdChart(f1, hide.base.image = T)
pf1c <- PictoStdChart(f1, hide.base.image = T, label.data.type="percentage", show.legend=T, label.data.align.horizontal="left")
pf1d <- PictoStdChart(f1, hide.base.image = T, label.data.type="count", show.legend=T)
pf1e <- PictoStdChart(f1, hide.base.image = T, label.data.type="proportion", show.legend=T)
# For bar and column the defaults set on the Std R Page should be
# show.legend=T, hide.base.image=T
b1 <- PictoStdChart(f1, mode="bar", show.legend=T,
label.data.type="percentage", label.data.position="footer", label.data.align.horizontal="center")
b2 <- PictoStdChart(f1, mode="bar", show.legend=T, gradient.col1="blue", gradient.col2="orange",
label.font="helvetica", label.size=16, label.weight="bold",
label.data.type="percentage", label.data.align.horizontal="left")
c1 <- PictoStdChart(f1, mode="column", show.legend=T, gradient.col1="blue", gradient.col2="orange",
label.data.type="percentage", label.data.position="footer", label.data.align.horizontal="left")
# What about pick-any questions?
# Also need to look at function calls using the 'by' parameter
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