timecourse_stats: Calculate Timecourse Statistics for a Matrix of Responses
In ubiquity: PKPD, PBPK, and Systems Pharmacology Modeling Tools
timecourse_stats R Documentation
Calculate Timecourse Statistics for a Matrix of Responses
Description
Given a matrix (d) of time courses (each row is an individual and each column is
a time point) and a confidence interval (ci) this will calculate the mean,
median, confidence intervals and a vector of values for creating patches.
Usage
timecourse_stats(d, ci)
Arguments
d
matrix of responses (each row an individual and each column a time point)
ci
confidence interval in percent (eg, 95)
Value
List with the following elements:
-
stats$ub_ci vector of confidence interval upper bound
-
stats$lb_ci vector of confidence interval lower bound
-
stats$mean vector of mean values
-
stats$median vector of median values
ubiquity documentation built on May 29, 2024, 12:02 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| timecourse_stats | R Documentation |
Calculate Timecourse Statistics for a Matrix of Responses
Description
Given a matrix (d) of time courses (each row is an individual and each column is a time point) and a confidence interval (ci) this will calculate the mean, median, confidence intervals and a vector of values for creating patches.
Usage
timecourse_stats(d, ci)
Arguments
d |
matrix of responses (each row an individual and each column a time point) |
ci |
confidence interval in percent (eg, 95) |
Value
List with the following elements:
-
stats$ub_civector of confidence interval upper bound -
stats$lb_civector of confidence interval lower bound -
stats$meanvector of mean values -
stats$medianvector of median values
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.