创建回归系数的数据 Table

Question

我有一个具有以下回归系数值的模型：

           (Intercept)                 radius              perimeter            compactness          concavepoints 
         -2.3003926746           0.0743984303          -0.0111031732          -2.5826629017           5.3127565914 
         radius.stderr      smoothness.stderr     compactness.stderr       concavity.stderr           radius.worst 
          0.4256225882          16.9805981122          -3.8819567231           0.9488969352           0.1408605366 
         texture.worst             area.worst        concavity.worst         symmetry.worst fractaldimension.worst 
          0.0105317616          -0.0009867991           0.3504860653           0.8536208289           4.7503948408

我想制作一个数据table，一列是变量名，另一列是相应的回归系数值。这是我到目前为止尝试过的：

var_names = coef(summary(model_B))[, 0]
coef_vals = coef(summary(model_B))[, 1]
data.table(Variables=c(var_names), RegressionCoefficients = c(coef_values))

但我得到以下输出，'Variables' 列全部为 NA:


Variables RegressionCoefficients
<dbl> <dbl>
NA  -2.3003926746           
NA  0.0743984303            
NA  -0.0111031732           
NA  -2.5826629017           
NA  5.3127565914            
NA  0.4256225882            
NA  16.9805981122           
NA  -3.8819567231           
NA  0.9488969352            
NA  0.1408605366

Answer 1

使用名称访问系数的名称。

var_names=names(coef(model_B))
coef_vals=coef(model_B)
data.table(Variables=var_names, RegressionCoefficients=coef_vals)

     Variables RegressionCoefficients
1: (Intercept)           2.984208e-16
2:      radius           1.000000e+00
3:   perimeter           1.000000e+00

创建回归系数的数据 Table

Creating Data Table of Regression Coefficients

datatable

regression

r

na

coefficients