Visualise a "CLFit" object as a triangle-style heatmap table.
The what argument controls which values are shown:
"pred"Predicted cells only.
"full"Observed and predicted full triangle.
"data"Original observed data from
x$data.
The label_style argument controls cell labels (only meaningful when
method = "mack"):
"value"Projected value only. Applied to all cells.
"cv"Coefficient of variation (%) for projected cells.
"se"Standard error for projected cells.
"ci"Confidence interval for projected cells.
Usage
# S3 method for class 'CLFit'
plot_triangle(
x,
what = c("pred", "full", "data"),
label_style = c("value", "cv", "se", "ci"),
conf_level = 0.95,
amount_divisor = 1e+08,
theme = c("view", "save", "shiny"),
nrow = NULL,
ncol = NULL,
...
)Arguments
- x
An object of class
"CLFit".- what
One of
"pred","full", or"data".- label_style
One of
"value"(default),"cv","se", or"ci". The uncertainty styles requiremethod = "mack".- conf_level
Confidence level used when
label_style = "ci". Default is0.95.- amount_divisor
Numeric scaling factor for amount variables. Default is
1.- theme
A string passed to
.switch_theme().- nrow, ncol
Number of rows and columns for
ggplot2::facet_wrap().- ...
Additional arguments passed to
.switch_theme().
