我使用facet_grid()
来显示种族组和计划参与级别的模型类型的不同组合的2x2。
通过使用scales = "free"
,我可以将每行的y轴分离出来,只显示相关系数。但是,我如何指定每个面板行中的模型/变量顺序呢?通常,我会这样做:
model_order <- c("White", "Black", "Hispanic")
然后将其传递到scale_x_discrete()
。(按顺序依次为高、中、低)。
但在这种情况下似乎不起作用,因为使用了scales = "free"
。是否有控制顺序的变通方法?
编码:
mylabels <- c("1" = "Linear",
"2" = "Logit",
"3" = "Race",
"4" = "Level")
ggplot(dx, aes(x = var, y = coef,
ymin = ci_lower, ymax = ci_upper)) +
geom_point(size = 2) +
geom_errorbar(width = 0.1,
size = 1) +
facet_grid(effect~model,
scales = "free",
labeller = as_labeller(mylabels)) +
scale_y_continuous(breaks = seq(-3, 3, by = 1)) +
coord_flip() +
theme_bw(base_size = 15) +
theme(legend.position = "none")
数据来源:
structure(list(var = c("White", "Black", "Hispanic", "White",
"Black", "Hispanic", "High", "Medium", "Low", "High", "Medium",
"Low"), coef = c(1.64, 1.2, 0.4, 1.45, 0.17, 0.6, 1.04, 0.05,
-0.74, -0.99, -0.45, -0.3045), ci_lower = c(1.3, 0.86, 0.06,
1.11, -0.17, 0.26, 0.7, -0.29, -1.08, -1.33, -0.79, -0.6445),
ci_upper = c(1.98, 1.54, 0.74, 1.79, 0.51, 0.94, 1.38, 0.39,
-0.4, -0.65, -0.11, 0.0355), model = c(1, 1, 1, 2, 2, 2,
1, 1, 1, 2, 2, 2), effect = c(3, 3, 3, 3, 3, 3, 4, 4, 4,
4, 4, 4)), class = c("spec_tbl_df", "tbl_df", "tbl", "data.frame"
), row.names = c(NA, -12L), spec = structure(list(cols = list(
var = structure(list(), class = c("collector_character",
"collector")), coef = structure(list(), class = c("collector_double",
"collector")), ci_lower = structure(list(), class = c("collector_double",
"collector")), ci_upper = structure(list(), class = c("collector_double",
"collector")), model = structure(list(), class = c("collector_double",
"collector")), effect = structure(list(), class = c("collector_double",
"collector"))), default = structure(list(), class = c("collector_guess",
"collector")), skip = 1L), class = "col_spec"))
1条答案
按热度按时间mxg2im7a1#
您可以将变量定义为因子,然后重新排序它们的水平: