library(ggpmisc)
# First approach: faint lines for non-significant fits, with bands
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
stat_poly_eq(aes(label = paste(after_stat(rr.label),
after_stat(p.value.label),
sep = "*\", \"*")),
label.x = "right") +
stat_poly_line(aes(colour = stage(after_scale = ifelse(p.value < 0.05,
alpha(colour, 1),
alpha(colour, 0.25)))),
se = TRUE,
fm.values = T) +
facet_wrap(~class, ncol = 2) +
theme_bw()
# Second approach: faint lines for non-significant fits, no-bands
# colour mapped to class
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
stat_poly_eq(aes(label = paste(after_stat(rr.label),
after_stat(p.value.label),
sep = "*\", \"*")),
label.x = "right") +
stat_poly_line(aes(colour = stage(start = class,
after_scale = ifelse(p.value < 0.05,
alpha(colour, 1),
alpha(colour, 0.25)))),
se = FALSE,
fm.values = T) +
facet_wrap(~class, ncol = 2) +
theme_bw()
# Third approach: no bands or lines for non-significant fits
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
stat_poly_eq(aes(label = stage(after_stat = ifelse(p.value < 0.05,
paste(eq.label,
p.value.label,
sep = "*\", \"*"),
paste(p.value.label,
sep = "*\", \"*")))),
label.x = "right") +
stat_poly_line(aes(colour = stage(after_scale = ifelse(p.value < 0.05,
colour,
NA)),
fill = stage(after_scale = ifelse(p.value < 0.05,
fill,
NA))),
se = TRUE,
fm.values = T) +
facet_wrap(~class, ncol = 2) +
theme_bw()
ggplot(mpg, aes(displ, hwy, colour = class, grp.label = class)) +
geom_point() +
stat_poly_eq(aes(label = paste(after_stat(rr.label),
after_stat(p.value.label),
sep = "*italic(\" with \")*")),
label.x = "right") +
stat_poly_line(aes(colour = stage(start = class,
after_scale = ifelse(p.value < 0.05,
alpha(colour, 1),
alpha(colour, 0.25)))),
se = FALSE,
fm.values = T) +
theme_bw()
ggplot(mpg, aes(displ, hwy, colour = class, grp.label = class)) +
geom_point() +
stat_poly_eq(aes(label = paste(after_stat(rr.label),
after_stat(p.value.label),
sep = "*italic(\" with \")*")),
label.x = "right") +
stat_poly_line(aes(colour = stage(start = class,
after_scale = ifelse(p.value < 0.05,
alpha(colour, 1),
alpha(colour, 0.25)))),
se = FALSE,
fm.values = T) +
theme_bw()
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
stat_poly_line(formula = y ~ x, fullrange = TRUE) +
stat_poly_line(formula = x ~ y, fullrange = TRUE, colour = "red") +
expand_limits(x = c(0, 8), y = 0)
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
stat_poly_line(formula = y ~ x, fullrange = TRUE) +
stat_poly_line(formula = x ~ y, fullrange = TRUE, colour = "red") +
stat_ma_line(fullrange = TRUE, method = "RMA",
range.y = "relative", range.x = "relative", colour = "black") +
expand_limits(x = c(0, 8), y = 0)
ggplot(iris, aes(Petal.Length, Petal.Width, color = Species)) +
geom_point() +
stat_ma_line() +
stat_ma_eq()
ggplot(iris, aes(Petal.Length, Petal.Width, color = Species)) +
geom_point() +
stat_ma_line(method = "MA") +
stat_ma_eq(aes(label = after_stat(p.value.label)),
method = "MA", nperm = 999)
ggplot(iris, aes(Petal.Length, Petal.Width, color = Species)) +
geom_point() +
stat_ma_line(method = "RMA",
range.y = "interval", range.x = "interval") +
stat_ma_eq(method = "RMA",
range.y = "interval", range.x = "interval", p.digits = 2)
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