argument_dummy: Argument dummy

In kueckelj/confuns: Convenience Functions

Argument dummy

Description

Argument dummy

Usage

argument_dummy(df, normalize, verbose)

Arguments

df	A data.frame.
verbose	Logical. If set to TRUE informative messages regarding the computational progress will be printed. (Warning messages will always be printed.)
across	Character value. Specifies the discrete variable in the data.frame across which the variables of interest are to be analyzed or displayed.
across.subset	Character vector. The groups of interest that the grouping variable denoted in across contains. If there are more groups you are interested in than they are groups you are not interested in specify those that you are not interested in prefixed with an '-'. Variables prefixed that way are discarded and the remaining are kept.
alpha.by, alpha_by, shape.by, shape_by, size.by, size_by	Character value or NULL. If character, specifies the variable that is mapped to the respective aesthetic of the plot.
alpha.trans, alpha_trans, color.trans, color_trans, shape.trans, shape_trans, size.trans, size_trans	Character value. Name of the transformation method applied to the continuous scale. Use validScaleTransformations() to obtain all valid input options. Use 'identity' for no transformation.
color.by, color_by	Character value or NULL. If character, specifies the variable that is displayed by color.
clrp	Character value. Specifies the color palette to be used to represent groups of discrete variables. Run validColorPalettes() to obtain valid input options.
clrsp, pt.clrsp, pt_clrsp	Character value. Specifies the color spectrum to be used to represent continuous values of numeric variables. Run validColorSpectra() to obtain valid input options.
clrp.adjust, clrp_adjust	Named character vector. Can be used to adjust colors with which groups are displayed. Names indicate groups, values indicate the colors with which specific groups are supposed to be displayed.
color.aes, color_aes	Either 'color' or 'fill'. Specifies the aesthetic that is used to visualize the variable that is specified in color_by. Ignored if color_by is NULL.
display_labels	Lgoical value. Indicates if labels are displayed.
display_legend, display_title	Logical values. Indicate if legend or title is displayed.
display.points	Logical value. If set to TRUE points are used additionally to display the results.
display.facets	Logical value. If set to TRUE the plot is split via ggplot2::facet_wrap() such that each variable gets it's own subplot.
display.grid, display_grid	Logical value. If TRUE, a grid is displayed.
facet.with, facet_with	Character value. Either 'grid' or 'wrap'. Specifies the function with which the plot-facetting is created. If across is of length 2 and facet_with = 'wrap' ggplot2::facet_wrap() is used. Else ggplot2::facet_grid() is used.
force	Logical value. Must be set to TRUE to allow overwriting.
grid.alpha, grid_alpha, grid.size, grid_size	Numeric values. Specify transparency and thickness of the lines of the grid.
grid.color, grid_color	Character value. Specifies the color of the grid lines.
h	Numeric value. Denotes the height at which the dendrogram is cut.
hs	Numeric vector. Denotes the heights at which the dendrogram is cut.
key.name, key_name	Character value or NULL. Denotes the variable that is used to identify each observation uniquely.
key.prefix, key_prefix	Character value. The string with which the IDs in the newly constructed key variable are prefixed if key_name is NULL.
k	Numeric value. Denotes the number of clusters. Must be bigger than 1. Must not be bigger than the number of observations of the data set.
ks	Numeric vector. Denotes all options for k-clusters. Values <1 are discarded. Is converted into an integer vector.
labels.angle, labels_angle	Numeric value. The angle with which labels are displayed.
labels.size, labels_size	Numeric value. The size with which labels are displayed.
labels.hjust, labels.vjust, labels_hjust, labels_vjust	Numeric values. Adjust labels positioning.
line.alpha, line_alpha, line.size, line_size	Numeric value. Specifies the transparency and the thickness of lines in the plot.
line.color, line_color	Character value. Specifies the color of lines in the plot.
line.type, line_type	Character value. Specifies the type of the lines. Use validLineTypes() to obtain all valid input options.
method.aggl, method_aggl	Character value. Specifies the agglomerative method of interest. Use validMethodsAggl() to obtain all valid input options.
methods.aggl, methods_aggl	Character vector. Specifies the agglomerative methods of interest. Use validMethodsAggl() to obtain all valid input options.
method.corr, method_corr	Character value. Specifies the correlation method of interest. Use validMethodsCorrelation() to obtain all valid input options.
methods.corr, methods_corr	Character vector. Specifies the correlation methods of interest. Use validMethodsCorrelation() to obtain all valid input options.
method.dist, method_dist	Character value. Specifies the distance method of interest. Use validMethodsDist() to obtain all valid input options.
methods.dist, methods_dist	Character vector. Specifies the distance methods of interest. Use validMethodsDist() to obtain all valid input options.
method.kmeans, method_kmeans	Character value. Specifies the kmeans method of interest. Use validMethodsKmeans() to obtain all valid input options.
methods.kmeans, methods_kmeans	Character vector. Specifies the kmeans methods of interest. Use validMethodsKmeans() to obtain all valid input options.
method.pam, method_pam	Character value. Specifies the pam-method of interest. Use validMethodsPam() to obtain all valid input options.
methods.pam, methods_pam	Character value. Specifies the pam-method of interest. Use validMethodsPam() to obtain all valid input options.
object	Any object for whose class a method has been defined.
order.by, order_by	Character value or NULL. If character, specifies the numeric variable by which the points are arranged before plotting.
order.desc	Logical value. If set to TRUE the way the points are ordered is reversed.
pt.alpha, pt_alpha	Numeric value. Specifies the transparency of points.
pt.color, pt_color	Character value. Specifies the color with which all points are displayed .
pt.num, pt_num	Numeric value. Species the number of points (sample size) to prevent overplotting.
pt.shape, pt_shape	Numeric or character value. If numeric, the respective shape is taken for all points. If character, the respective variable is mapped to the shape-aesthetic.
pt.size, pt_shape	Numeric values. Specifies size of points.
pval_threshold	Numeric value or NULL. If numeric, denotes the maximum p-value to be considered as significant. Must no be higher than 0.05.
ref.group	Character value. Specifies the reference group for the pairwise statistical test. Must be among the groups the variable specified in across contains. If set to NULL the first group found is taken.
relevel	Logical value. If set to TRUE the input order of across.subset and variables determines the order in which the groups of interest are displayed.
scales, nrow, ncol	Given to ggplot2::facet_wrap(). Affects the way the subplots are displayed.
smooth.alpha, smooth_alpha	Numeric value. The transparency of the smoothed line.
smooth.color, smooth_color	Character value. The color of the smoothed line.
smooth.method, smooth_method	Character value. The smoothing method. Given to argument method of ggplot2::geom_smooth().
smooth.se, smooth_se	Logical value. Indicates if the confidence intervals are displayed.
stop_if_null	Logical value. If TRUE and the function does not find the object to extract an informative error is raised. Else the empty value - usually NULL - is returned.
transform.with, transform_with	List or NULL. If list, can be used to transform continuous variables before plotting. Names of the slots of the provided list refer to the variables. The content of the slot refers to the transforming functions. Slot content can either be a character vector of function names. Use validVarTransformations() to obtain all valid character value inputs. Or it can be a list of functions (and function names).
test.pairwise	Character value or NULL. If character, one of 't.test', 'wilcox.test'.
test.groupwise	Character value or NULL. If character, one of 'anova', 'kruskal.test'.
valid.classes	Character vector to specify the classes the input might have in order not to be discarded.
values_alpha, values_size	Numeric values. Denote transparency and size of the displayed values.
values_color	Character value. Denotes the color in which the values are displayed.
values_digits	Numeric value. Denotes the number of digits to which the displayed values are rounded.
variables	Character vector. Specifies the variables of interest. If set to NULL all valid variables of the input data.frame are considered (as long as the total number does not exceeds the limit). If there are more variables you are interested in than they are variables you are not interested in specify those that you are not interested in prefixed with an '-'. Variables prefixed that way are discarded and the remaining are kept.
x, y	Character value. Variable to be plotted on the respective axis.

Value

Returns a ggplot-object that can be additionally customized according to the rules of the ggplot2-framework.

kueckelj/confuns documentation built on July 4, 2024, 4:53 p.m.