Tidiers for data.frame objects
Data frame tidiers are deprecated and will be removed from an upcoming release of broom.
## S3 method for class 'data.frame' tidy(x, ..., na.rm = TRUE, trim = 0.1) ## S3 method for class 'data.frame' augment(x, data, ...) ## S3 method for class 'data.frame' glance(x, ...)
x |
A data.frame |
... |
Additional arguments for other methods. |
na.rm |
a logical value indicating whether |
trim |
the fraction (0 to 0.5) of observations to be trimmed from
each end of |
data |
data, not used |
These perform tidy summaries of data.frame objects. tidy produces
summary statistics about each column, while glance simply reports
the number of rows and columns. Note that augment.data.frame will
throw an error.
tidy.data.frame produces a data frame with one
row per original column, containing summary statistics of each:
column |
name of original column |
n |
Number of valid (non-NA) values |
mean |
mean |
sd |
standard deviation |
median |
median |
trimmed |
trimmed mean, with trim defaulting to .1 |
mad |
median absolute deviation (from the median) |
min |
minimum value |
max |
maximum value |
range |
range |
skew |
skew |
kurtosis |
kurtosis |
se |
standard error |
glance returns a one-row data.frame with
nrow |
number of rows |
ncol |
number of columns |
complete.obs |
number of rows that have no missing values |
na.fraction |
fraction of values across all rows and columns that are missing |
David Robinson, Benjamin Nutter
Skew and Kurtosis functions are adapted from implementations in the moments package:
Lukasz Komsta and Frederick Novomestky (2015). moments: Moments, cumulants, skewness,
kurtosis and related tests. R package version 0.14.
https://CRAN.R-project.org/package=moments
Other deprecated:
bootstrap(),
confint_tidy(),
finish_glance(),
fix_data_frame(),
summary_tidiers,
tidy.density(),
tidy.dist(),
tidy.ftable(),
tidy.numeric()
Other deprecated:
bootstrap(),
confint_tidy(),
finish_glance(),
fix_data_frame(),
summary_tidiers,
tidy.density(),
tidy.dist(),
tidy.ftable(),
tidy.numeric()
Other deprecated:
bootstrap(),
confint_tidy(),
finish_glance(),
fix_data_frame(),
summary_tidiers,
tidy.density(),
tidy.dist(),
tidy.ftable(),
tidy.numeric()
td <- tidy(mtcars)
td
glance(mtcars)
library(ggplot2)
# compare mean and standard deviation
ggplot(td, aes(mean, sd)) + geom_point() +
geom_text(aes(label = column), hjust = 1, vjust = 1) +
scale_x_log10() + scale_y_log10() + geom_abline()Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.