make_ticks

internal

Create a forest plot based on the layout of the data. Confidence intervals in multiple columns by groups can be done easily. Editing the plot, inserting/adding text, applying a theme to the plot, and much more.

Alim Dayim

forestploter

Create a Flexible Forest Plot

Alimu Dayimu

make_ticks function

<dl><dt>at</dt>
<dd>Numerical vector, create ticks at given values.</dd>
<dt>xlim</dt>
<dd>Limits for the x axis as a vector of length 2, i.e. c(low, high). It
will take the minimum and maximum of the lower and upper value if not provided.
This will apply to all CI columns if provided, and will be calculated automatically
for each column if not provided. This should be a list with the same length of
<code>ci_column</code> if different <code>xlim</code> for different column is desired.</dd>
<dt>x_trans</dt>
<dd>Change axis scale, Allowed values are one of c("none", "log", "log2",
"log10"). Default is <code>"none"</code>, no transformation will be applied.
The formatted label will be used for <code>scale = "log2"</code> or <code>"log10"</code>, change
this in <code>x_trans</code>. Set this to <code>"log"</code> if x-axis tick marks assume values
are exponential, e.g. for logistic regression (OR), survival estimates (HR), Poisson
regression etc.</dd></dl>

Arguments

Set x-axis ticks — make_ticks

<dl>

<dt>at</dt>
<dd>Numerical vector, create ticks at given values.</dd>


<dt>xlim</dt>
<dd>Limits for the x axis as a vector of length 2, i.e. c(low, high). It
will take the minimum and maximum of the lower and upper value if not provided.
This will apply to all CI columns if provided, and will be calculated automatically
for each column if not provided. This should be a list with the same length of
<code>ci_column</code> if different <code>xlim</code> for different column is desired.</dd>


<dt>x_trans</dt>
<dd>Change axis scale, Allowed values are one of c("none", "log", "log2",
"log10"). Default is <code>"none"</code>, no transformation will be applied.
The formatted label will be used for <code>scale = "log2"</code> or <code>"log10"</code>, change
this in <code>x_trans</code>. Set this to <code>"log"</code> if x-axis tick marks assume values
are exponential, e.g. for logistic regression (OR), survival estimates (HR), Poisson
regression etc.</dd>

</dl>

make_ticks: Set x-axis ticks

Description

Usage

Value

Arguments