Description Usage Arguments Details Examples
View source: R/add_stats_to_model.R
add_stats_to_model
adds output to a model in a tidy results list.
Sometimes you have to run additional analyses on the output of a statistical
test, so you want to add these results to an existing model in a tidy stats
list.
1 | add_stats_to_model(results, output, identifier, class = NULL)
|
results |
A tidystats list. |
output |
Output of a statistical test. |
identifier |
A character string identifying the model. |
class |
A character string to indicate which function was used to produce the output. See 'Details' for a list of supported functions. |
Supported classes are:
- confint
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | # Create an empty list to store the results in
results <- list()
# Conduct a regression analysis
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
model <- lm(weight ~ group)
# Add output to the results list
results <- add_stats(results, model, identifier = "M1")
# Get confidence intervals of the model
model_CIs <- confint(model)
# Add it to the results list
results <- add_stats_to_model(results, model_CIs, identifier = "M1",
class = "confint")
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