1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
# Copyright (C) 2015-2017 Johannes Ranke
# Contact: jranke@uni-bremen.de
# This file is part of the R package mkin
# mkin is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
# You should have received a copy of the GNU General Public License along with
# this program. If not, see <http://www.gnu.org/licenses/>
add_err = function(prediction, sdfunc, secondary = c("M1", "M2"),
n = 1000, LOD = 0.1, reps = 2,
digits = 1, seed = NA)
{
if (!is.na(seed)) set.seed(seed)
# The output of mkinpredict is in wide format
d_long = mkin_wide_to_long(prediction, time = "time")
# Set up the list to be returned
d_return = list()
# Generate datasets one by one in a loop
for (i in 1:n) {
d_rep = data.frame(lapply(d_long, rep, each = 2))
d_rep$value = rnorm(length(d_rep$value), d_rep$value, sdfunc(d_rep$value))
d_rep[d_rep$time == 0 & d_rep$name %in% secondary, "value"] <- 0
# Set values below the LOD to NA
d_NA <- transform(d_rep, value = ifelse(value < LOD, NA, value))
# Round the values for convenience
d_NA$value <- round(d_NA$value, digits)
d_return[[i]] <- d_NA
}
return(d_return)
}
|
