Plot individually the outcome measurement for each individual unit in the experiment (ID). Use the wrap_on to select the ID column that identifies each unique individual.
Usage
plot_outcome_by_id(
df,
x,
y,
color,
wrap_on,
ncol = 5,
xlab = "Days after treatment",
ylab = expression("log"[10] * "(Total flux (photons/sec))"),
legend_lab = "Treatment",
title = "",
base_size = 10
)Arguments
- df
Dataframe containing all the measures. It should be in the long format. See tidyr::pivot_longer to see how to get data in the long format and the Vignette `Formatting the data`.
- x
Column that has the time axis
- y
Column that has the outcome measurement
- color
Column to be used when plotting the dots and curves.
- wrap_on
Column identifying the IDs of the samples.
- ncol
Number of columns to use to organize the plots. Default is 5.
- xlab
Name of xlab. Default is "Days after treatment"
- ylab
Name of ylab. Default is expression("log"[10]*"(Total flux (photons/sec))")
- legend_lab
Legend's name. Default is Treatment.
- title
Title for the plot. Default is no title.
- base_size
integer specifying the base_size for ggplot2::theme_bw. Default is 10. Change this according to your screen size and needs.
Examples
plot_outcome_by_id(
t110_ivis_long,
x = "days_after_treatment",
y = "log10tf",
color = "treatment",
wrap_on = "id"
)
#> Warning: Removed 2 rows containing non-finite outside the scale range (`stat_smooth()`).
#> Warning: Removed 2 rows containing missing values or values outside the scale range
#> (`geom_point()`).
