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I see that you've flagged this issue in a related thread (#79) but reposting here to highlight another situation in which stats::poly() leads to an error.
Using a regression workflow with broom and the tidyverse:
test_data<-data.frame(region= sample(letters[1:3], 1000, replace=TRUE),
x= sample(0:1, 1000, replace=TRUE),
y= sample(1:100, 1000, replace=TRUE),
z= sample(0:1, 1000, replace=TRUE)) %>%
arrange(region)
# nested by region works fine with a basic regressionby_region<-test_data %>% nest(data=-region)%>%
mutate(mod_rat= map(data, ~ lm(x~y+z,data=.x)))%>%
mutate(marginals= map2(mod_rat, data, ~margins_summary(.x, data=.y)))
#introduce the poly term it throws an errorby_region<-test_data %>% nest(data=-region)%>%
mutate(mod_rat= map(data, ~ lm(x~z+ poly(y,2),data=.x)))%>%
mutate(marginals= map2(mod_rat, data, ~margins_summary(.x, data=.y)))
# add the solution of stats::poly(... and the error is resolved and we can run either a targeted marginal effects or summary.by_region<-test_data %>% nest(data=-region)%>%
mutate(mod_rat= map(data, ~ lm(x~z+stats::poly(y,2),data=.x)))%>%
mutate(marginals= map2(mod_rat, data, ~margins_summary(.x, data=.y)),
marginal_key= map2(mod_rat, data, ~margins_summary(.x, data=.y,variables=c("z"))))
## session info for your system#sessionInfo()#loaded via a namespace (and not attached):#[1] Rcpp_1.0.6 cellranger_1.1.0 pillar_1.6.1 compiler_4.1.0 dbplyr_2.1.1 tools_4.1.0 jsonlite_1.7.2 #[8] lubridate_1.7.10 lifecycle_1.0.0 gtable_0.3.0 pkgconfig_2.0.3 rlang_0.4.11 reprex_2.0.0 cli_2.5.0 #[15] rstudioapi_0.13 DBI_1.1.1 haven_2.4.1 xml2_1.3.2 withr_2.4.2 httr_1.4.2 fs_1.5.0 #[22] generics_0.1.0 vctrs_0.3.8 hms_1.1.0 grid_4.1.0 tidyselect_1.1.1 glue_1.4.2 data.table_1.14.0#[29] R6_2.5.0 fansi_0.5.0 readxl_1.3.1 prediction_0.3.14 modelr_0.1.8 magrittr_2.0.1 backports_1.2.1 #[36] scales_1.1.1 ellipsis_0.3.2 MASS_7.3-54 rvest_1.0.0 assertthat_0.2.1 colorspace_2.0-1 utf8_1.2.1 #[43] stringi_1.6.1 munsell_0.5.0 crayon_1.4.1
The text was updated successfully, but these errors were encountered:
Hello,
I see that you've flagged this issue in a related thread (#79) but reposting here to highlight another situation in which stats::poly() leads to an error.
Using a regression workflow with broom and the tidyverse:
The text was updated successfully, but these errors were encountered: