奇数'；sjPlot包中的Plot_model（）函数生成的s比率绘图对于R中的绘图窗口太大_R_Plot_Graphics_Glm_Sjplot

奇数'；sjPlot包中的Plot_model（）函数生成的s比率绘图对于R中的绘图窗口太大

r plot graphics

奇数'；sjPlot包中的Plot_model（）函数生成的s比率绘图对于R中的绘图窗口太大,r,plot,graphics,glm,sjplot,R,Plot,Graphics,Glm,Sjplot,问题：我使用sjPlot包中的plot_model（）函数从名为FID的数据框（下图）生成了一个优势比图（下图），但该图对于绘图窗口来说太大我有两个模型涉及：（1）FID_模型1（见图1）；和（2）混合FID模型1（见图2）。混合模型包含最低的AIC值，并且表面上似乎包含最佳拟合优度。然而，可以说，FID_模型_1使用的自由度较少，优势比图（图1）说明该模型具有有意义的预测值因此，我尝试为这两种模型绘制优势比图，以进一步探索这些关系——FID_模型_1和混合FID_模型_1

问题：

我使用sjPlot包中的plot_model（）函数从名为FID的数据框（下图）生成了一个优势比图（下图），但该图对于绘图窗口来说太大
我有两个模型涉及：（1）FID_模型1（见图1）；和（2）混合FID模型1（见图2）。混合模型包含最低的AIC值，并且表面上似乎包含最佳拟合优度。然而，可以说，FID_模型_1使用的自由度较少，优势比图（图1）说明该模型具有有意义的预测值
因此，我尝试为这两种模型绘制优势比图，以进一步探索这些关系——FID_模型_1和混合FID_模型_1

df AIC FID_Model_1 13 17643.63 Mixed_FID_Model_1 22 12237.52
其想法是显示名为混合FID模型1的混合效应glm（）模型中预测变量的相对重要性（图2）
但是，图2太大，无法装入绘图窗口。我尝试过用不同的代码语法调整绘图窗口的大小，但没有成功
如果有人能帮忙，我将不胜感激

#####Open a plotter window dev.new() library(ggplot2) library(sjmisc) library(sjlabelled) library(sjPlot) ##Plot the glm models Mixed_FID_Model_1<-glm(FID~Year*Month, family=poisson, data=FID) Model_FID_Model_1<-glm(FID~Year+Month, family=poisson, data=FID) ###Produce the Odds's Ratio Plots for models 1 and 2 ##Open a plotting window dev.new() ##Model 1 - Blue_Model_2 plot_model(Blue_Model_2, show.values = TRUE, value.offset = .3) ##Open a plotting window dev.new() ##Model 2 - Mixed_Blue_Model_1 plot_model(Mixed_Blue_Model_1, show.values = TRUE, value.offset = .3)

右边的蓝点显然太大，实际上是无限的，没有意义。你可能有病理数据的情况。在使用回归分析之前，你应该仔细查看你的数据表。感谢你的反馈，非常感谢。我已经将我的数据制成表格，进行了清理，并将其细分！问题是我有一个数字独立的数字变量'FID'，两个预测因素是：（1）12个月的水平；季风季节-5级；其中一列写着“第三年水平”，我用不同的glm（）模型进行了实验，逐步回归分析表明，年和月是最相关的预测因子。我把这些预测因子作为混合效应模型加在一起，这就是为什么我想绘制一个图来可视化这两个模型。我编辑了这篇文章，包括了没有混合效应的模型的优势比图，另一位堆栈溢出评论员建议我用MCMC对这类数据集进行贝叶斯分析。当我进行逐步（前后）分析时，年份和月份是最重要的协变量。你的意见是什么？
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