#' code to prepare the 'soilwater' dataset.
#'
library(dplyr)
#Dates
dates <- seq.Date(as.Date("2021-01-01"),
by = "1 months",
length.out = 12)
#A factor to mimic a typical annual cycle beginning with january
date_factor <- c(1,
0.9,
0.85,
0.9,
0.7,
0.6,
0.5,
0.45,
0.4,
0.45,
0.6,
0.9)
sites <- c("site_a","site_b")
upper_a <- c(5,0,-7,-15,-23,-40,-60)
upper_b <- c(7,3,0,-5,-13,-20,-40,-60)
lower_a <- c(0,-7,-15,-23,-40,-60,-100)
lower_b <- c(3,0,-5,-13,-20,-40,-60,-100)
TPS_a <- c(84,52,45,45,38,38,38)/100
TPS_b <- c(80,80,61,61,20,20,35,35)/100
swc_a <- c(0.2,0.21,0.22,0.25,0.3,0.35,0.4)
swc_b <- c(0.18,0.21,0.22,0.24,0.25,0.28,0.36,0.43)
#a standard deviation to mimic natural data in ppm
sd_swc_a <- rep(0.01,7)*seq(1,1.5,length.out = 7)/TPS_a
sd_swc_b <- rep(0.01,8)*seq(1,1.5,length.out = 8)/TPS_b
#create dataframe
soilwater <- data.frame(site = c(rep("site_a",7),
rep("site_b",8)),
upper = c(upper_a,upper_b),
lower = c(lower_a,lower_b),
swc_seed = c(swc_a,swc_b),
sd_swc = c(sd_swc_a,sd_swc_b),
TPS = c(TPS_a,TPS_b)
)
soilwater <-
soilwater %>%
rowwise()%>%
reframe(Date = dates,
date_factor = date_factor,
site = rep(site),
upper = rep(upper),
lower = rep(lower),
swc_seed = rep(swc_seed),
TPS = rep(TPS),
sd_swc = rep(sd_swc))
set.seed(42)
soilwater <-
soilwater %>%
rowwise() %>%
mutate(SWC = date_factor * rnorm(1,swc_seed,sd_swc)*TPS) %>%
select(site,
Date,
upper,
lower,
SWC)
#soilwater %>%
# ggplot(aes(y=SWC,x=Date,col = factor(upper)))+
# geom_line()+
# facet_wrap(~site)
usethis::use_data(soilwater,
soilwater,
overwrite = T)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.