Plot the summary growth curves based on Total Flux and log10 of Total flux. The function get_stats_from_data is used to calculate the statistics. So it is not necessary to calculate it before hand.
Usage
plot_summary_growth_curves(
df,
column_days = "days_after_treatment",
column_conditions = "treatment",
columns_vals = c("log10tf", "tf"),
ylabs = c(expression("log"[10] * "(Total flux (photons/sec))"),
"Total flux (photons/sec)"),
xlab = "Days after treatment",
colors = NULL,
point_size = 4,
line_size = 2,
base_size = 20
)Arguments
- df
Long dataframe containing total flux and log10 total flux
- column_days
Name of the column where days are indicated
- column_conditions
Name of the column where conditions are indicated
- columns_vals
Character vector specifying the columns to calculate the summary. Default is c("log10tf", "tf")
- ylabs
Character vector with the name of the y axis for all plots. Length should be the same as columns_vals Default is c( expression("log"[10]*"(Total flux (photons/sec))"), "Total flux (photons/sec)" ).
- xlab
Legend of the x axis. Shared by all possible plots.
- colors
Colors vector that will be parsed. default is NULL. To use it, be sure to write it in the following way: c(group1 = color1, group2 = color2)
- point_size
Size of the points, passed to ggplot2::geom_point. Default is 4.
- line_size
Size of the lines. Default is 2
- base_size
Base size value for ggplot2::theme_bw
