response_plot

Plot the response variable against the predictor variables.

Utility package containing:
1) Facilities for working with grouped data: 'do' something to data
stratified 'by' some variables.
2) LSmeans (least-squares means), general linear estimates.
3) Restrict functions to a smaller domain.
4) Miscellaneous other utilities.

Søren Højsgaard

doBy

Groupwise Statistics, LSmeans, Linear Estimates, Utilities

Ulrich Halekoh

response_plot function

<dl><dt>data.</dt>
<dd>A data frame containing the variables in the formula.</dd>
<dt>formula.</dt>
<dd>A formula of the form y ~ x1 + x2 + ... + xn, where
y is the response variable and x1, x2, ..., xn are the
predictor variables. A dot as right hand side is allowed.</dd>
<dt>geoms</dt>
<dd>A list of ggplot2 geoms to be added to the plot.</dd>
<dt>global_aes</dt>
<dd>A list of global aesthetics to be added to the plot.</dd>
<dt>plot</dt>
<dd>A logical value indicating whether the plot should be displayed.</dd>
<dt>nrow, ncol</dt>
<dd>Number of rows / columns in plot.</dd></dl>

Arguments

Plot the response variable against the predictor variables. — response_plot

<dl>

<dt>data.</dt>
<dd>A data frame containing the variables in the formula.</dd>


<dt>formula.</dt>
<dd>A formula of the form y ~ x1 + x2 + ... + xn, where
y is the response variable and x1, x2, ..., xn are the
predictor variables. A dot as right hand side is allowed.</dd>


<dt>geoms</dt>
<dd>A list of ggplot2 geoms to be added to the plot.</dd>


<dt>global_aes</dt>
<dd>A list of global aesthetics to be added to the plot.</dd>


<dt>plot</dt>
<dd>A logical value indicating whether the plot should be displayed.</dd>


<dt>nrow, ncol</dt>
<dd>Number of rows / columns in plot.</dd>

</dl>

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response_plot: Plot the response variable against the predictor variables.

Description

Usage

Value

Arguments

Examples