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tidy_emmeans handles contrasts when column names have dashes #351
Output looks like
suppressMessages(library(tidyverse)) suppressMessages(library(broom)) suppressMessages(library(lsmeans)) data_frame(y = rnorm(100), x = rep(c("Single", "Double-Barrelled"), 50)) %>% lm(y ~ x, data = .) %>% lsmeans::lsmeans(., ~x) %>% lsmeans::contrast(., "pairwise") %>% tidy %>% print() #> # A tibble: 1 x 7 #> level1 level2 estimate std.error df statistic p.value #> * <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 Double-Barrelled Single 0.0617 0.187 98 0.329 0.743
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