Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
cache = TRUE,
cache.path = 'cache/defineLongitudinalEndpoints/',
comment = '#>',
dpi = 300,
out.width = '100%'
)
## ----setup, message = FALSE, echo=FALSE---------------------------------------
library(dplyr)
library(TrialSimulator)
set.seed(12345)
## ----adfa, echo = FALSE-------------------------------------------------------
locked_data_ <- data.frame(
baseline = runif(6, 130, 150),
bp2 <- runif(6, 110, 140),
bp4 <- runif(6, 105, 130)
) %>%
mutate(
bp_cfb2 = bp2 - baseline,
bp_cfb4 = bp4 - baseline
) %>%
select(baseline, bp_cfb2, bp_cfb4) %>%
tibble()
## ----dalfjal, echo = FALSE----------------------------------------------------
locked_data_
## ----eioajf-------------------------------------------------------------------
library(mvtnorm)
bp_generator <- function(n, bp_means, bp_vcov){
dat <- rmvnorm(n, mean = bp_means, sigma = bp_vcov) %>%
as.data.frame()
names(dat) <- c('baseline', 'bp2', 'bp4')
dat %>%
mutate(
bp_cfb2 = bp2 - baseline,
bp_cfb4 = bp4 - baseline
) %>%
select(baseline, bp_cfb2, bp_cfb4)
}
## ----adlfjadl-----------------------------------------------------------------
vcov1 <- matrix(
c(2, 1.5, 1,
1.5, 3, 1.5,
1, 1.5, 4),
nrow = 3
)
ep_in_trt1 <- endpoint(
name = c('bp_cfb2', 'baseline', 'bp_cfb4'),
type = rep('non-tte', 3),
readout = c(baseline = 0, bp_cfb4 = 4, bp_cfb2 = 2),
generator = bp_generator,
bp_means = c(140, 125, 120),
bp_vcov = vcov1
)
## ----eiieala, results='asis'--------------------------------------------------
ep_in_trt1
## ----adlfeqadl, results='asis'------------------------------------------------
vcov2 <- matrix(
c(2, 1.5, 1,
1.5, 3, 1,
1, 1, 4),
nrow = 3
)
ep_in_trt2 <- endpoint(
name = c('bp_cfb2', 'baseline', 'bp_cfb4'),
type = rep('non-tte', 3),
readout = c(baseline = 0, bp_cfb4 = 4, bp_cfb2 = 2),
generator = bp_generator,
bp_means = c(140, 127, 122),
bp_vcov = vcov2
)
ep_in_trt2
## ----daliea, results='asis'---------------------------------------------------
trt1 <- arm(name = 'treatment 1')
trt2 <- arm(name = 'treatment 2')
trt1$add_endpoints(ep_in_trt1)
trt2$add_endpoints(ep_in_trt2)
trt1
trt2
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