seasonalsex: Simulated data of seasonal mortality data for two sex groups

In cyclomort: Survival Modeling with a Periodic Hazard Function

Simulated data of seasonal mortality data for two sex groups

Description

See examples below for the process of simulating and visualizing these data using simulate_cycloSurv, and an example of analyzing these data with factorfit_cyclomort.

Usage

data(seasonalsex)

Format

Simulated data of single-season mortalities for two sex groups:

sex

female (F) or male (M)

event

cycloSurv object of (censored) survival data

Examples

# useful packages
require(ggplot2); require(magrittr); require(plyr)

# Example of simulating multi-factor data:
## Not run:** 
n <- 100
T.male = simulate_cycloSurv(n, period = 1, meanhazard = 0.3, peaks = .25, durations = .3)
T.female = simulate_cycloSurv(n, period = 1, meanhazard = 0.3, peaks = .75, durations = .3)
T.joint <- with(rbind(T.male, T.female) %>% data.frame,
          create_cycloSurv(start = start, end = stop, 
                           event = status, period = 1))
seasonalsex <- data.frame( sex = rep(c("M","F"), each = n), T = T.joint)
## End(**Not run**)

# load and visualize simulated sex-specific survival data
data("seasonalsex")

seasonsex.df <- cbind(seasonalsex, as.matrix(seasonalsex$event) %>% as.data.frame) %>%
  arrange(sex,stop) %>% mutate(id = 1:length(start) %>% factor, 
                               status = c("Dead", "Censored")[2-status])

require(ggplot2)
ggplot(seasonsex.df, aes(x = start, y = id, col = status)) + 
  geom_errorbarh(aes(xmin = start, xmax = stop)) + 
  facet_wrap(.~sex, scales = "free_y", ncol = 1) + 
  ggtitle("Simulated sex-specific mortality data")

seasonsex.df$time.trunc <- with(seasonsex.df, stop - floor(stop))
with(seasonsex.df, {
  hist(time.trunc[sex == "M"], col = rgb(0,0,1,.3), breaks = seq(0,1,.1), 
       bor = NA, freq = FALSE, xlab = "Time (within period)", 
       main = "Male vs. Female (simulated) mortalities")  
  hist(time.trunc[sex == "F"], col = rgb(1,0,0,.3), breaks = seq(0,1,.1), 
       bor = NA, add = TRUE, freq = FALSE)  
  lines(density(time.trunc[sex == "M"], from = 0, to = 1), col = "darkblue", lwd = 2)
  lines(density(time.trunc[sex == "F"], from = 0, to = 1), col = "darkred", lwd = 2)
  legend("topleft", fill = c("blue", "red"), legend = c("M","F"), title = "Sex")
})

# test differences

sex.fit <- factorfit_cyclomort(event ~ sex, data = seasonalsex, n.seasons = 1)
summary(sex.fit)

plot(sex.fit, ymax = 1.3)

cyclomort documentation built on June 8, 2025, 11:04 a.m.