To use the qwraps2
function to analyze data that includes nested groups, you can use the ::
operator to specify the levels of the groups, and then use the by
argument to group and summarize the data at each level. For example:
library(qwraps2)
# Example data with nested groups
data <- data.frame(
region = c(rep("North", 6), rep("South", 6)),
state = c(rep("NY", 3), rep("PA", 3), rep("TX", 3), rep("FL", 3)),
sales = c(100, 150, 200, 75, 125, 175, 250, 300, 350, 225, 275, 325)
)
# Create a qwraps2 table with nested grouping by region and state
table1 <- qwraps2::summary_table(
data = data,
vars = c(sales),
by = list(region::state),
treatment = NULL,
statistic = "mean_sd_n",
missing = TRUE,
digits = 2,
report = TRUE
)
table1
This will create a summary table with mean, standard deviation, and sample size for sales at each level of the nested groups (e.g., mean sales for North NY, South PA, etc.).
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Asked: 2023-06-12 09:00:58 +0000
Seen: 12 times
Last updated: Jun 12 '23
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