[英]Colored ribbons and different linetypes in sjPlot plot_model()
I want to use plot_model() from the sjPlot package to plot predicted values of a model with both different linetypes and colored ribbons . 我想用plot_model()从sjPlot包绘制与两个不同的线型和彩带模型的预测值。 I also want the linetypes and ribbon colors to show up in the legend .
我还希望线型和色带颜色显示在图例中 。 I did find a way to make this work using ggpredict() and ggplot(), but I would much prefer using the plot_model() function as it saves me writing a lot of code when having to fit and plot a lot of models for my projects.
我确实找到了一种使用ggpredict()和ggplot()进行这项工作的方法,但是我更喜欢使用plot_model()函数,因为它为我节省了编写和编写大量模型所需的大量代码的时间项目。
I did try two different ways shown below, but neither worked for me. 我确实尝试了如下所示的两种不同方式,但都没有用。 How can I do this?
我怎样才能做到这一点?
library("ggplot2")
library("ggeffects")
library("sjPlot")
data(efc)
fit <- lm(neg_c_7 ~ c12hour * barthtot, data = efc)
# Preferred output
ggpredict(fit, terms = c("c12hour", "barthtot")) %>%
ggplot(aes(x, predicted)) +
geom_ribbon(aes(
ymin = conf.low,
ymax = conf.high,
fill = group
),
alpha = 0.5
) +
geom_line(aes(linetype = group)) +
scale_linetype_manual(values = c("dotted", "dashed", "solid")) +
labs(
title = "Predicted values of Negative impact with 7 items",
x = "average number of hours of care per week",
y = "Negative impact with 7 items",
fill = "Total score BARTHEL INDEX",
linetype = "Total score BARTHEL INDEX"
)
# First try: Changing the linetype does not seem to work
plot_model(fit,
type = "pred",
terms = c("c12hour", "barthtot")
) +
scale_linetype_manual(values = c("dotted", "dotdash", "longdash"))
# Second try: With colors = "bw" I can change the linetype, and with
# scale_fill_brewer() I can add colored ribbons, but the legend does
# not show the colors
plot_model(fit,
type = "pred",
terms = c("c12hour", "barthtot"),
colors = "bw"
) +
scale_linetype_manual(values = c("dotted", "dotdash", "longdash")) +
scale_fill_brewer(palette = "Set1")
Maybe you can explore the functions set_theme()
and update_geom_defaults()
that allow you to customize the plot appearance. 也许您可以探索
set_theme()
和update_geom_defaults()
函数,这些函数可用于自定义绘图外观。 You only need to call it one time. 您只需要调用一次即可。
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