autocog_ {autocogs}

Default Cognostic Group Functions

Description

These set of functions comprise the default cognostic groups. Each function produces it's own cognostic information given the required pieces of data.

The functions' print method will display the description. autocog_* functions will take the known_cog_groups() functions and format the output into a single row tibble. Any new known cognostic group function, NAME, will create a function called autocog_NAME, which may be called.

Default Cognostic Group Functions:

• autocog_bivariate_continuous

• autocog_bivariate_counts

• autocog_bivariate_step

• autocog_boxplot

• autocog_density_2d_continuous

• autocog_density_continuous

• autocog_grouped_counts

• autocog_grouped_testing

• autocog_hex_counts

• autocog_histogram_counts

• autocog_linear_model

• autocog_loess_model

• autocog_pairwise_counts

• autocog_quantile_quantile

• autocog_scagnostics

• autocog_smooth_line

• autocog_square_counts

• autocog_univariate_continuous

• autocog_univariate_counts

• autocog_univariate_discrete

Arguments

x

data that should appear on an x axis

y

data that should appear on an y axis

...

ignored

direction

step direction. Defaults to "hv"

na.rm

should NA points be removed when performing calculations

h, n, bins, binwidth, clusters, bw, adjust, kernel, trim, group, groups, center, boundary, closed, pad, breaks, weights, formula, method_args, span, distribution, dparams, method, se, fullrange, xseq, level, origin, drop

parameters usually set by corresponding "geoms" to be used within ggplot2 Stat* methods

See Also

known_cog_groups()

Examples

autocog_bivariate_continuous
autocog_bivariate_continuous(iris$Sepal.Length, iris$Sepal.Width)