Description Usage Arguments See Also Examples
Summarizes each column with max value
1 | summarize_max(data, ..., na.rm = TRUE, grouper)
|
data |
A dataframe or tibble. |
... |
(Optional) Numeric columns to summarize. |
na.rm |
TRUE if true NA are to be removed. |
grouper |
(Optional) Group by column. |
Other summarize functions:
value_count()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | library(tidyverse)
test_data <-
tibble(
Group = sample(c("Apple", "Pear"), size = 10, replace = TRUE),
A = sample(c(NA_integer_, 1:3), size = 10, replace = TRUE),
B = sample(c(NA_integer_, 4:6), size = 10, replace = TRUE),
C = sample(c(NA_real_, seq(from = 6.01, to = 6.09, by = 0.01)), size = 10, replace = TRUE)
)
# Checking that all numeric cols are captured
all_numeric_cols(data = test_data)
# Ungrouped Summary
summarize_max(test_data)
summarize_max(test_data, A)
# Grouped Summary
summarize_max(test_data,
grouper = Group)
summarize_max(test_data,
B,
na.rm = TRUE,
grouper = Group)
summarize_max(test_data,
B,
na.rm = FALSE,
grouper = Group)
|
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