plot_feature_summary {tempted} | R Documentation |
Plot nonparametric smoothed mean and error bands of features versus time
Description
This is a handy function to plot the smoothed mean and error bands for multiple features.
Usage
plot_feature_summary(
feature_mat,
time_vec,
group_vec,
coverage = 0.95,
bws = NULL,
nrow = 1
)
Arguments
feature_mat |
A sample by feature matrix. Each feature will be plotted separately as a facet. The features can be original features, meta features, log ratios, or any variables of interest. |
time_vec |
A vector of time points matched to the rows of |
group_vec |
A vector of factor variable indicating the group membership
of samples matched to the rows of |
coverage |
The coverage rate for the error band. Default is 0.95. |
bws |
The smoothness parameter for the smoothing lines and error bands.
A larger value means a smoother line.
Default is NULL and calculated by function |
nrow |
The number of rows to plot the features used in function |
Value
A ggplot2 object.
Examples
# plot the summary of selected features
feat.names <- c("OTU4447072", "OTU4467447")
proportion_table <- count_table/rowSums(count_table)
plot_feature_summary(proportion_table[,feat.names],
meta_table$day_of_life,
meta_table$delivery,
bws=30)
[Package tempted version 0.1.1 Index]