Examples for 'broom::tidy.summary_emm'


Tidy a(n) summary_emm object

Aliases: tidy.summary_emm

Keywords:

### ** Examples


# feel free to ignore the following line—it allows {broom} to supply 
# examples without requiring the model-supplying package to be installed.
if (requireNamespace("emmeans", quietly = TRUE)) {

# load libraries for models and data
library(emmeans)

# linear model for sales of oranges per day
oranges_lm1 <- lm(sales1 ~ price1 + price2 + day + store, data = oranges)

# reference grid; see vignette("basics", package = "emmeans")
oranges_rg1 <- ref_grid(oranges_lm1)
td <- tidy(oranges_rg1)
td

# marginal averages
marginal <- emmeans(oranges_rg1, "day")
tidy(marginal)

# contrasts
tidy(contrast(marginal))
tidy(contrast(marginal, method = "pairwise"))

# plot confidence intervals
library(ggplot2)

ggplot(tidy(marginal, conf.int = TRUE), aes(day, estimate)) +
  geom_point() +
  geom_errorbar(aes(ymin = conf.low, ymax = conf.high))

# by multiple prices
by_price <- emmeans(oranges_lm1, "day",
  by = "price2",
  at = list(
    price1 = 50, price2 = c(40, 60, 80),
    day = c("2", "3", "4")
  )
)

by_price

tidy(by_price)

ggplot(tidy(by_price, conf.int = TRUE), aes(price2, estimate, color = day)) +
  geom_line() +
  geom_errorbar(aes(ymin = conf.low, ymax = conf.high))

# joint_tests
tidy(joint_tests(oranges_lm1))

}
RStudio Community is a great place to get help:
https://community.rstudio.com/c/tidyverse
# A tibble: 4 × 5
  term   num.df den.df statistic   p.value
  <chr>   <dbl>  <dbl>     <dbl>     <dbl>
1 price1      1     23     30.3  0.0000134
2 price2      1     23      2.23 0.149    
3 day         5     23      4.88 0.00346  
4 store       5     23      2.52 0.0583   

[Package broom version 0.8.0 Index]