How to do lm with dplyr

[JJ_Hershytung]

Hi, I'm new in this community
and I have one question
Using albalon.csv in Kaggle

abalone %>% 
    group_by(Sex) %>% 
    lm(Diameter~Whole.weight, data=abalone)

you know what I mean?
I would like to derive the effect of diameter on total_weight by gender through linear regression analysis.
Male or Female

[martin.R]

Try one of these:

library(dplyr)

iris %>%
  group_by(Sex) %>%
  group_map(~ broom::tidy(lm(Diameter ~ Whole.weight, data = .x)))

iris %>%
  group_by(Sex) %>%
  group_modify(~ broom::tidy(lm(Diameter ~ Whole.weight, data = .x)))

[valeri]

Here is an example with mtcars (pinched from http://varianceexplained.org/r/broom-intro/)

library(dplyr)
library(broom)
mtcars %>% group_by(am) %>% do(tidy(lm(mpg ~ wt, .)))

so in your case

library(dplyr)
library(broom)
abalone %>% 
    group_by(Sex)  %>% 
    do(tidy(lm(Diameter~Whole.weight, .)))

should work.

[JJ_Hershytung]

Thanks to your help
so I can deal with problem

[JJ_Hershytung]

thank you
I hadn't realize library(broom)

[andresrcs]

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