在sjPlot中,tab_model是一个用于创建和可视化回归模型摘要表的函数。它可以用于展示线性回归、广义线性模型、混合效应模型等各种类型的回归模型。 调整r2的名称是指修改R方(R-squared)的名称,R方是用来衡量回归模型拟合优度的统计指标。默认情况下,sjPlot中的tab_model函数会将R方的名称显示为"R2"。但是,有时候我...
默认情况下,sjPlot会按照图例标签的出现顺序在图例中显示。要反转图例顺序,需要获取图例标签并将其顺序反转。可以使用get_legend函数获取图例对象,并使用rev函数反转标签顺序。 默认情况下,sjPlot会按照图例标签的出现顺序在图例中显示。要反转图例顺序,需要获取图例标签并将其顺序反转。可以使用get_legend函数获取图例对象...
目前较好的方案就是使用sjPlot包的tab_df函数,可以把任意数据框转为传统三线表。如果使用Rstudio,可以在Viewer中直接复制,然后粘贴到Word,再做交互式调整。如果是不使用IDE,那么生成的HTML文件,也可以进行复制粘贴,但是可能在粘贴的时候要选择合适的粘贴方法,这样能够保留R中生成的目标格式。 举例代码如下: library(sjP...
library(sjPlot) mymodel <- lm(mpg ~ am + gear + hp + wt,data = mtcars) tab_model(mymodel) tab_df函数 tab_df(mtcars[1:5,]) plot_model函数 plot_model(mymodel)
library(devtools)devtools::install_github("strengejacke/sjPlot") Official, stable release To install the latest stable release from CRAN, type the following command into the R console: Documentation and examples Please visithttps://strengejacke.github.io/sjPlot/for documentation and vignettes. ...
library(sjPlot) sjt.xtab(orditabl3$age, orditabl3$compliance, var.labels = c("年龄","依从性"),#设置变量名的字符向量 value.labels=list(c("≤45","46～60","61～75","≥76"), c("差","一般","好")),#设置变量值标签的...
sjplot：：tab_model()与lmer summary()中P值的差异对于线性混合效应模型的系数估计值，无法精确推导这些...
However, I needed an extra feature, as sjPlot by default breaks up the colour variable into few levels that do not include the minimum or the maximum values in my variable. What I would like to do is to stratify the colour variable into equally-sized levels that include the minimum and...
如果安装了see，sjPlot::plot_model将返回一个多面板图，它在后台使用patchwork，即返回的对象不再是...
I want my three-way interaction to look as closely as possible to my two-way interaction plot. Basically the same, just with two facets (called panels in my example). I would love to continue to usesjplotwithplot_model. However, as soon as I pass any aesthetic argument to...