geom_sigmark: Significance Markers for ggplot2

In philstraforelli/ggsigmark: An Implementation of Grammar of Graphics to Denote Statistically Significant Differences

Description

Apply significance markers onto an existing ggplot2 chart

Usage

geom_sigmark(tbl_sig, x = "level", y = "pos", group = NULL,
  colour = "sign", icon = "full triangle up", size = 5)

Arguments

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" or "group".
y	A quoted character string of the variable from the 'tbl_sig' df charted on the y-axis. Typically this is "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 "sign".
icon	A quoted character string indicating the type of icon to display to denote statistical significance. Default is "full triangle up".
size	A numeric value indicating the size of the icon. Default is set to 5.

Details

This is essentially a wrapper for geom_point

Note

The icon argument accepts one of the following strings:

• full triangle up

• full triangle down

• clear triangle up

• clear triangle down

• arrow up

• arrow down

• finger up

• finger down

• full star

• clear star

• checkmark

• asterisk

• heart

Examples

### Proportions:
colour_vec <- c("NEW ENGLAND" = "#edc951",
                "MIDDLE ATLANTIC" = "#eb6841",
                "E. NOR. CENTRAL" = "#cc2a36",
                "W. NOR. CENTRAL" = "#4f372d",
                "SOUTH ATLANTIC" = "#00a0b0",
                "E. SOU. CENTRAL" = "#2175d9",
                "W. SOU. CENTRAL" = "#00308f",
                "MOUNTAIN" = "#e30074",
                "PACIFIC" = "#b8d000")

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", weight = "wtssall")
my_chart_data <- tbl_chart(gss_data1, "conlegis", "region", weight = "wtssall")

my_chart_data$conlegis <- forcats::fct_relevel(my_chart_data$conlegis,
                                            "A GREAT DEAL",
                                            "ONLY SOME",
                                            "HARDLY ANY")

#Trial and error is needed to apply the right values for space_between and space_label
#to get the positioning of the markers correctly.
my_sig_data <- tbl_sig(my_results, "region", space_label = 0.2, space_between = 0.1)

#Setting up a chart
library(ggplot2)
(p <- ggplot() +
		geom_col(data = my_chart_data, aes(x = conlegis, fill = region, y = prop)) +
		geom_text(data = my_chart_data, aes(x = conlegis,
		                                    y = prop,
		                                    label = scales::percent(round(prop, 2))),
		                                    hjust = -0.2) +
		coord_flip() +
		facet_wrap(~ region) +
		scale_fill_manual(values = colour_vec) + scale_colour_manual(values = colour_vec) +
		scale_y_continuous(limits = c(0, 1.5), labels = scales::percent)
)

p + geom_sigmark(my_sig_data)

### Means:
colour_vec <- c("LT HIGH SCHOOL" = "#edc951",
                "HIGH SCHOOL" = "#eb6841",
                "JUNIOR COLLEGE" = "#cc2a36",
                "BACHELOR" = "#4f372d",
                "GRADUATE" = "#00a0b0")

gss_data1 <- dplyr::filter(gss_data, year == "2016", coninc > 0)
my_results <- freq_t_test(gss_data1, "coninc", "degree", weight = "wtssall")
my_chart_data <- tbl_chart(gss_data1, "coninc", "degree", weight = "wtssall")

#Trial and error is needed to apply the right values for space_between and space_label
#to get the positioning of the markers correctly.
my_sig_data <- tbl_sig(my_results, "degree", space_label = 5000, space_between = 2100)

#Setting up a chart
library(ggplot2)
(p <- ggplot() +
		geom_col(data = my_chart_data, aes(x = degree, y = wtd.mean, fill = degree)) +
		geom_text(data = my_chart_data, aes(x = degree,
		                                    y = wtd.mean,
		                                    label = scales::dollar(round(wtd.mean, 0))),
		                                    vjust = -0.2) +
		scale_fill_manual(values = colour_vec) + scale_colour_manual(values = colour_vec) +
		scale_y_continuous(limits = c(0, 100000), labels = scales::dollar)
)


p + geom_sigmark(my_sig_data, x = "degree")

philstraforelli/ggsigmark documentation built on May 20, 2019, 1:59 p.m.