Chaning dummy variable in r to my desire variables dummy variables,

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I am trying to change dummy variables in r to my desire dummy variables but the r code I am using did not give the desire result. I have provided the r code and the result I want in the attach image above. Thank you helping.

lowbwt=read.csv("lowbwt_1.csv",header = T)

library(dplyr)
lowbwt<-lowbwt %>%
+ mutate(Black=ifelse(RACE_1=="Black",1,0)) %>%
+ mutate(Other=ifelse(RACE_1=="Other",0,1)) %>%
+ mutate(White=ifelse(RACE_1=="White",0,0))
model_1=glm(LOW~RACE_1+AGE+LWT,data=lowbwt,family = "binomial")
summary(model_1)

Call:
glm(formula = LOW ~ RACE_1 + AGE + LWT, family = "binomial",
data = lowbwt)

Deviance Residuals:
Min 1Q Median 3Q Max
-1.4052 -0.8946 -0.7209 1.2484 2.0982

Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 2.310563 1.146923 2.015 0.0439 *
RACE_1Other -0.560361 0.512830 -1.093 0.2745
RACE_1White -1.003822 0.498014 -2.016 0.0438 *
AGE -0.025524 0.033252 -0.768 0.4427

Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for binomial family taken to be 1)

Null deviance: 234.67 on 188 degrees of freedom


Residual deviance: 222.66 on 184 degrees of freedom
AIC: 232.66

Number of Fisher Scoring iterations: 4

contrasts(lowbwt$RACE_1)
Other White
Black 0 0
Other 1 0
White 0 1

But I want produce is the following:
Other White
Black 1 0
Other 0 1
White 0 0
I White to be base with (0 0) rather than Black as r is giving

?relevel

r

1 Answer
1

Since you have not given us what to work with, I will use the inbuilt example for reproducibility:

utils::example(factor)
fff <- ff[, drop = TRUE] # reduce to 5 levels.


Now we will use fff as our factor, all that we need to change is the base:

fff

contrasts(fff) # treatment contrasts by default
c i s t
a 0 0 0 0
c 1 0 0 0
i 0 1 0 0
s 0 0 1 0
t 0 0 0 1
contrasts(C(fff, base=5))# Change the base to 5
1 2 3 4
a 1 0 0 0
c 0 1 0 0
i 0 0 1 0
s 0 0 0 1
t 0 0 0 0


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