glmnetGridTable: Multipanel Display and Table Glmnet CV Output.

In bestglm: Best Subset GLM and Regression Utilities

Description

Four panels.

Usage

glmnetGridTable(XyList, alpha = 0, nfolds=10, family = "gaussian")

Arguments

XyList	input
alpha	elastic net parameter
nfolds	Number of folds, K, in regularized K-fold CV, must be >3 and <=10.
family	distribution

Details

tba

Value

plot produced by side-effect. Table.

Note

Set random seed beforehand if you want reproducibility.

Author(s)

A. I. McLeod

See Also

trainTestPartition, cv.glmnet, glmnet, predict.glmnet

Examples

set.seed(7733551)
out <- trainTestPartition(mcdonald)
round(glmnetGridTable(out),4)

Example output

Loading required package: leaps
           OLS  StepAIC  StepBIC     RR1     RR2     RR3     RR4
PREC   24.7922  24.5506  22.6913  0.9227  1.1468  0.9663  1.1009
JANT   -2.0511   0.0000   0.0000 -0.2811 -0.3105 -0.2881 -0.3059
JULT  -17.2703  -8.8751   0.0000 -0.1116 -0.2800 -0.1400 -0.2409
OVR65 -11.3140   0.0000   0.0000 -0.3840 -0.3771 -0.3813 -0.3763
POPN   -7.7363   0.0000   0.0000 26.2878 26.8236 26.5222 26.8452
EDUC   -8.5628 -10.2329 -10.5808 -9.0382 -9.7324 -9.2145 -9.6318
HOUS   -7.0558   0.0000   0.0000 -0.4068 -0.4227 -0.4100 -0.4193
DENS   16.9880  15.8602  17.0955  0.0072  0.0085  0.0074  0.0082
NONW   18.8360  18.0960  13.2945  1.1536  1.3757  1.1988  1.3323
WWDRK  -2.5408   0.0000   0.0000 -0.3659 -0.3302 -0.3602 -0.3384
POOR   -1.7114   0.0000   0.0000  0.4566  0.4549  0.4576  0.4564
HC    -59.1364   0.0000   0.0000 -0.0153 -0.0179 -0.0158 -0.0173
NOX    54.6550   0.0000   0.0000 -0.0012  0.0012 -0.0007  0.0007
SOx    10.3891  16.3166  17.6953  0.1464  0.1730  0.1520  0.1680
HUMID  -3.6143   0.0000   0.0000  0.3401  0.3857  0.3514  0.3792
NORM   92.1202  40.3912  37.5363 27.8533 28.6081 28.1356 28.5900
RMSE   56.7118  56.3638  58.2911 54.9497 53.4939 54.6137 53.7420

bestglm documentation built on March 26, 2020, 7:25 p.m.