I am building a Logistic Regression (in R) as follows:
glm_hr1 = glm(attrition_value ~ BusinessTravel+Department+Gender,
binomial(link="logit"), data=hr1)
The X-variables are defined as follows:
BusinessTravel
--------------
[type=Factor]
[values="Frequently","None","Rarely"]
[Ref group = "Frequently"]
Department
----------
[type=Factor]
[values="HR","RD","Sales"
[Ref group = "HR"]
Gender
------
[type=Factor]
[values="Male","Female"]
[Ref group = "Male"]
summary(glm_hr1) returns the following:
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.8168 0.2476 -3.298 0.000973 ***
BusinessTravelNone -1.3738 0.2354 -5.836 5.35e-09 ***
BusinessTravelRarely -0.6464 0.1166 -5.545 2.94e-08 ***
DepartmentRD -0.3805 0.2387 -1.594 0.110906
DepartmentSales 0.1187 0.2441 0.486 0.626912
GenderFemale -0.2086 0.1052 -1.982 0.047496 *
How do I get coefficients of : BusinessTravelFrequently DepartmentHR GenderMale
all in one summary ?
What i tried ?
I used the -1 to build my model as follows:
glm_hr2 = glm(attrition_value ~ BusinessTravel+Department+Gender -1,
binomial(link="logit"), data=hr1)
The output of this model was:
Coefficients:
Estimate Std. Error z value Pr(>|z|)
BusinessTravelFrequently -0.8168 0.2476 -3.298 0.000973 ***
BusinessTravelNone -2.1905 0.3101 -7.063 1.63e-12 ***
BusinessTravelRarely -1.4632 0.2333 -6.272 3.56e-10 ***
DepartmentRD -0.3805 0.2387 -1.594 0.110906
DepartmentSales 0.1187 0.2441 0.486 0.626912
GenderFemale -0.2086 0.1052 -1.982 0.047496 *
The (intercept) term is gone and replaced by "BusinessTravelFrequently". I understand why this happens.
Changing the order of formula however game me coefficients for every level eg:
glm(attrition_value ~ Department+BusinessTravel+Gender -1, ....)
gave coefficients for all values for Department
glm(attrition_value ~ Gender+Department+BusinessTravel -1, ....)
gave coefficients for all values for Gender
Is there any way to get all coefficients for all factor variables in one summary ?
Is there any other way to do this ?
