我对bigglm的正确输出有疑问。 在这里，我的脚本是：
setwd ('D:/Demyd/Work/ScoreCard/WOE')
install.packages("DBI")
install.packages("biglm")
setwd ('D:/Demyd/Work/ScoreCard/WOE')
library(DBI)
library(biglm)
DATA=read.csv(file='COR_alternative.csv',head=TRUE,sep=";")
code=GOOD_BAD_BORROWER~CALLS_TILL_1ST_PAYMENT_CH+DIALOGUE_TO_CLIENT_CH+CONTACTS_WITH_CLIENTS_CH
m1<-bigglm(code, data=DATA, chunksize=100, sandwich=FALSE, maxit=50, family=binomial())
summary(m1)
输出为:(减少的输出）
(Intercept)
CALLS_TILL_1ST_PAYMENT_CH-0,305395775 -0.5643
CALLS_TILL_1ST_PAYMENT_CH-0,324013948 -0.2649
CALLS_TILL_1ST_PAYMENT_CH-0,400732212 -1.0587
CALLS_TILL_1ST_PAYMENT_CH-0,532964924 -1.5210
CALLS_TILL_1ST_PAYMENT_CH-0,984633795 -2.7465
CALLS_TILL_1ST_PAYMENT_CH-1,700637138 -4.7229
CALLS_TILL_1ST_PAYMENT_CH0,092451818 0.7127
CALLS_TILL_1ST_PAYMENT_CH0,29578485 1.3227
CALLS_TILL_1ST_PAYMENT_CH0,817686141 2.5724
DIALOGUE_TO_CLIENT_CH0,80078638 27.7321
CONTACTS_WITH_CLIENTS_CH0,798116672 -24.0894
问题是为什么因素CALLS_TILL_1ST_PAYMENT_CH被拆分为属性但未显示为整个因素，例如Dialogue_to_client和Contact_with_clients？
因此，我需要一些指导来获得每个因素的输出，但不要将因子分成不同的属性。