A plot visualising the change in intensity of a feature with a continuous variable such as time, dose, or run order.
Usage
feature_profile_array(
run_order,
qc_label,
qc_column,
colour_by,
feature_to_plot,
nrow = 5,
log = TRUE,
...
)Arguments
- run_order
(character) The sample-meta column name containing run order.
- qc_label
(character) The label used to identify QC samples.
- qc_column
(character) The sample-meta column name containing the labels used to identify QC samples.
- colour_by
(character) The sample-meta column name to used to colour the plot.
- feature_to_plot
(numeric, character, integer) The name or column id of the plotted feature.
- nrow
(numeric, integer) The number of rows in the plot. The default is
5.- log
(logical) Log transform. Allowed values are limited to the following:
"TRUE": The data is log tranformed before plotting."FALSE": The data is not transformed before plotting.
The default is
TRUE.- ...
Additional slots and values passed to
struct_class.
Value
A
feature_profile_array
object. This object has no output slots.
See chart_plot in the struct package to plot this chart object.
Inheritance
A feature_profile_array object inherits the following struct classes: [feature_profile_array] >> [chart] >> [struct_class]
Examples
M = feature_profile_array(
run_order = character(0),
qc_label = character(0),
qc_column = character(0),
colour_by = character(0),
feature_to_plot = numeric(0),
nrow = 1,
log = FALSE)
D = MTBLS79_DatasetExperiment()
C = feature_profile_array(
run_order='run_order',
qc_label='QC',
qc_column='Class',
colour_by='Class',
feature_to_plot=1:3,
nrow=1,
log=TRUE)
chart_plot(C,D)
#> Warning: Removed 23 rows containing missing values or values outside the scale range
#> (`geom_point()`).
