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I have a set of data, after questioning customers.(it's about a shoe company) Two of the columns include GENDER and INCOME. I am supposed to test if there are any significant differences in income between genders, and give the corresponding P-value.

I'm still a n00b when it comes to R, I'm still learning and I've been struggling for 3 days now to find the functions to do so. Does anyone have any lead, or could help me with it? would be awesome.

lmo
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deliapitu
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    Welcome to StackOverflow. Take a minute to read through these tips on creating a [minimum example](http://stackoverflow.com/help/mcve) and this post on creating a [great example in R](http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) and then tell us what you tried and provide a sample set of data. As it stands, your question is quite broad. – lmo May 31 '16 at 15:24

1 Answers1

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I am editing this because I realized my other answer was not correct.

What you want is a linear model.

say

GENDER <- factor(c(0,1,1,0,1)
INCOME <- c(20000,30000,40000,50000,550000)

then you want

model <-lm(INCOME~GENDER)

and

summary(model)
anova(model)

will give you the information you are after.

Good luck, Bryan

Bryan Goggin
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