Create spline comparison plots for two conditions
plot_spline_comparisons.RdThis function generates comparison plots for spline fits of two conditions over time. It compares the time effects of two conditions, plots the data points, and overlays the fitted spline curves. The function checks if the adjusted p-values for the average difference between conditions and the interaction between condition and time are below the specified thresholds before generating plots.
Usage
plot_spline_comparisons(
time_effect_1,
condition_1,
time_effect_2,
condition_2,
avrg_diff_conditions,
interaction_condition_time,
data,
meta,
condition,
X_1,
X_2,
plot_info,
adj_pthresh_avrg_diff_conditions,
adj_pthresh_interaction
)Arguments
- time_effect_1
A data frame containing the time effects for the first condition.
- condition_1
The name of the first condition.
- time_effect_2
A data frame containing the time effects for the second condition.
- condition_2
The name of the second condition.
- avrg_diff_conditions
A data frame with the adjusted p-values for the average difference between conditions.
- interaction_condition_time
A data frame with the adjusted p-values for the interaction between condition and time.
- data
The data matrix containing the measurements.
- meta
The metadata associated with the measurements.
- condition
Column name of meta that contains the levels of the experiment.
- X_1
A matrix of spline basis values for the first condition.
- X_2
A matrix of spline basis values for the second condition.
- plot_info
A list containing plotting information such as time unit and axis labels.
- adj_pthresh_avrg_diff_conditions
The adjusted p-value threshold for the average difference between conditions.
- adj_pthresh_interaction
The adjusted p-value threshold for the interaction between condition and time.