Description Usage Arguments Details Note Examples
View source: R/geom_sigmark_total.R
Apply significance markers onto an existing ggplot2 chart
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tbl_sig |
A df object created from tbl_sig functions. |
x |
A quoted character string of the variable from the 'tbl_sig' df charted on the x-axis. Typically this is "level". |
y |
A quoted character string of the variable from the 'tbl_sig' df charted on the y-axis. Typically this is "result_pos". |
group |
An optional quoted character string of the variable from the 'tbl_sig' df that is grouped. If needed, it likely needs to be "group". |
colour |
A quoted character string of the variable from the 'tbl_sig' df that applies the subgroup colours. Typically this is "level". |
direction |
A quoted character string of the variable from the 'tbl_sig' df indicating whether the change from one wave to the next is up or down. Typically this is "Direction". |
labels |
A quoted character string vector indicating how the sig. test markers should be labeled in the legend. By default, the labels are "Increase" and "Decrease". |
icon |
A quoted character string indicating the type of icon to display to denote statistical significance. Default is "full triangle". |
size |
A numeric value indicating the size of the icon. Default is set to 5. |
This is essentially a wrapper for geom_point
The icon argument accepts one of the following strings:
full triangle
clear triangle
arrow
finger
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Proportions
gss_data1 <- dplyr::filter(gss_data, year == "2016",
conlegis %in% c("A GREAT DEAL", "ONLY SOME", "HARDLY ANY"))
my_results <- freq_prop_test(gss_data1, "conlegis", "region", level = "E. NOR. CENTRAL", weight = "wtssall")
sig <- tbl_sig(my_results, "region", space_label = 0.05, compare = "total")
chart <- tbl_chart(gss_data1, "conlegis", "region", weight = "wtssall")
chart <- dplyr::filter(chart, region == "E. NOR. CENTRAL")
chart$conlegis <- forcats::fct_relevel(chart$conlegis, "HARDLY ANY", "ONLY SOME", "A GREAT DEAL")
library(ggplot2)
ggplot() +
geom_col(data = chart, aes(x = conlegis, y = prop)) +
coord_flip() +
geom_text(data = chart, aes(x = conlegis, y = prop, label = scales::percent(round(prop, 2))), hjust = -0.2) +
geom_sigmark_total(sig)
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