curveFitting {MetaLonDA} | R Documentation |
Fit longitudinal data
Description
Fits longitudinal samples from the same group using negative binomial smoothing splines or LOWESS
Usage
curveFitting(df, method = "nbinomial", points)
Arguments
df |
dataframe has the Count, Group, ID, Time |
method |
fitting method (nbinomial, lowess) |
points |
points at which the prediction should happen |
Value
returns the fitted model
References
Ahmed Metwally (ametwall@stanford.edu)
Examples
data(metalonda_test_data)
n.sample = 5
n.timepoints = 10
n.group = 2
Group = factor(c(rep(0, n.sample*n.timepoints), rep(1, n.sample*n.timepoints)))
Time = rep(rep(1:n.timepoints, times = n.sample), 2)
ID = factor(rep(1:(2*n.sample), each = n.timepoints))
points = seq(1, 10, length.out = 10)
aggretage.df = data.frame(Count = metalonda_test_data[1,], Time = Time, Group = Group, ID = ID)
cf = curveFitting(df = aggretage.df, method= "nbinomial", points)
[Package MetaLonDA version 1.1.8 Index]