我正在创建几个雨云图,我想知道如何更改样式,使其看起来更像
那样自由流动,而不是像
那样均匀
这是我正在使用的适合虹膜的代码。
iris %>%
dplyr::group_by(Species) %>%
dplyr::mutate(
mean = mean(Petal.Length),
se = sd(Petal.Length) / sqrt(length(Petal.Length)),
species_y = paste0(Species, "\n(", n(), ")")
) %>%
ungroup() %>%
ggplot(aes(x = Petal.Length, y = species_y)) +
stat_slab(aes(fill = Species)) +
stat_dots(aes(color = Species), side = "bottom", shape = 16) +
scale_fill_brewer(palette = "Set1", aesthetics = c("fill", "color")) +
geom_errorbar(aes(
xmin = mean - 1.96 * se,
xmax = mean + 1.96 * se
), width = 0.2) +
stat_summary(fun = mean, geom = "point", shape = 16, size = 3.0) +
theme_bw(base_size = 10) +
theme(legend.position = "top") +
labs(title = "Raincloud plot with ggdist", x = "Petal Length")
此外,我如何更好地集中我的平均值(图2)?我的代码:
RCday2Sex <- uniquePeople %>%
dplyr::group_by(sex) %>%
dplyr::mutate( mean = mean(thresh.y),
se = sd(thresh.y) / sqrt(length(thresh.y)),
sex_y = paste0(sex, "\n(", n(), ")") ) %>% ungroup() %>%
ggplot(aes(x = thresh.y, y = sex_y, group=sex)) +
stat_slab(aes(fill = sex), scale = 0.5) +
geom_point(aes(color = sex),shape = 16,
position = ggpp::position_jitternudge(height = 0.125, width = 0,
y = -0.125,
nudge.from = "jittered")) + scale_fill_brewer(palette = "Set1", aesthetics = c("fill", "color")) +
geom_errorbar(aes(
xmin = mean - 1.96 * se,
xmax = mean + 1.96 * se
), width = 0.2) +
stat_summary(fun = mean, geom = "point", shape = 16, size = 3.0) +
theme_bw(base_size = 10) +
theme(legend.position = "top") +
scale_x_continuous(name="Estimated Nominal Detection Threshold (log10 units)", limits=c(-4.5, 0.5), breaks = seq(-4.5, 0.5, by = 0.5))+
labs(title="Raincloud plots showing odor detection thresholds stratified by sex")
print(RCday2Sex + labs(y = "Sex"))
1条答案
按热度按时间qvtsj1bj1#
使用
geom_point
和ggpp::position_jitternudge
可以实现“自由流动”的外观均值 * 是 * 在给定的例子中居中,所以它不是真的很清楚你在这里的意思。