I have the following formula
#Regression(Y1 - VTV)----
m1_vtv<-formula(vtv~retailsales)
m2_vtv<-formula(vtv~retailsales+cpi)
m3_vtv<-formula(vtv~retailsales+cpi+tmf)
#Regression(Y2 - VUG)----
m1_vug<-formula(vug~retailsales)
m2_vug<-formula(vug~retailsales+cpi)
m3_vug<-formula(vug~retailsales+cpi+tmf)
and I have added them into a list called regression_list
regression_list<-c(m1_vtv,m2_vtv,m3_vtv,m1_vug,m2_vug,m3_vug)
I am trying to glance() all the models in regression_list together. Individually it works:
tidy(model1) %>% as_tibble()
glance(model1)
However when I tried this
regression_list %>%
map(~lm(.x, data = df_final)) %>%
map(~as_tibble(.x, data = df_final)) %>%
map(~glance(.x, data = df_final))
I get error message:
Error in as.data.frame.default(value, stringsAsFactors = FALSE) : cannot coerce class '"lm"' to a data.frame
Looking for way to fit this into map function to run through all the formulas in regression_list
As the error message says you are trying to convert lm
object to tibble. You also don't need multiple map
's as you can do this in the same map
function. Try :
library(purrr)
library(broom)
result <- regression_list %>% map(~glance(lm(.x, data = df_final)))
If you want the result
in one dataframe you can use map_df
in place of map
.
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