transfer from old repo

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Andreas Gammelgaard Damsbo 2026-08-19 09:27:27 +02:00
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# source("1 PA Decline/data_format.R")
# NEW QUARTILES
ds <- readr::read_csv(here::here("/Volumes/Data/REDCap/DDV/talos_ddv.csv"))
df_raw <- ds |>
dplyr::filter(!pase_score_missings_0, !pase_score_missings_4) |>
dplyr::transmute(
pase_0_cut = as.numeric(stRoke::quantile_cut(x = pase_score_sum_0,
groups = 4,
group.names = paste0(1:4))),
pase_6_cut = as.numeric(stRoke::quantile_cut(x = pase_score_sum_4,
y = pase_score_sum_0,
groups = 4,
inc.outs = TRUE,
group.names = paste0(1:4))),
change = dplyr::case_when(
pase_0_cut %in% 2:4 & pase_6_cut == 1 ~ "drop",
pase_6_cut %in% 2:4 & pase_0_cut == 1 ~ "hop",
pase_0_cut %in% 2:4 & pase_6_cut %in% 2:4 ~ "hh",
pase_0_cut %in% 1 & pase_6_cut == 1 ~ "ll"
)
,
change_any = factor(dplyr::case_when(
pase_6_cut > pase_0_cut ~ "hop",
pase_6_cut < pase_0_cut ~ "drop",
pase_0_cut %in% 2:4 & pase_6_cut %in% 2:4 ~ "hh",
pase_0_cut %in% 1 & pase_6_cut == 1 ~ "ll"
)
)
)
# Visuals - sankey
# https://stackoverflow.com/questions/50395027/beautifying-sankey-alluvial-visualization-using-r
## Painting
sankey_ready <- function(data,change.var="change"){
df <- data |>
dplyr::count(dplyr::across(dplyr::all_of(c("pase_0_cut", "pase_6_cut",change.var)))) |>
dplyr::mutate(dplyr::across(dplyr::starts_with("pase_"),\(.x) factor(.x))) |>
setNames(c("pase_0_cut", "pase_6_cut","change","n"))
lbs0 <-
c(
paste0("1st \n(n=", sum(df$n[df$pase_0_cut == "1"]), ")"),
paste0("2nd \n(n=", sum(df$n[df$pase_0_cut == "2"]), ")"),
paste0("3rd \n(n=", sum(df$n[df$pase_0_cut == "3"]), ")"),
paste0("4th \n(n=", sum(df$n[df$pase_0_cut == "4"]), ")")
)
lbs6 <-
c(
paste0("1st \n(n=", sum(df$n[df$pase_6_cut == "1"]), ")"),
paste0("2nd \n(n=", sum(df$n[df$pase_6_cut == "2"]), ")"),
paste0("3rd \n(n=", sum(df$n[df$pase_6_cut == "3"]), ")"),
paste0("4th \n(n=", sum(df$n[df$pase_6_cut == "4"]), ")")
)
levels(df$pase_0_cut) <- lbs0[1:length(levels(df$pase_0_cut))]
levels(df$pase_6_cut) <- lbs6[1:length(levels(df$pase_6_cut))]
df$pase_0_cut <- factor(df$pase_0_cut, levels = rev(levels(df$pase_0_cut)))
df$pase_6_cut <- factor(df$pase_6_cut, levels = rev(levels(df$pase_6_cut)))
df$change <- factor(df$change, levels = c("hh","hop", "drop", "ll"))
if (change.var=="change"){
df |> dplyr::mutate(first_grp=ifelse(substr(pase_0_cut,1,1)==1,"low","higher"))
} else if (change.var=="change_any"){
df |> dplyr::mutate(first_grp=dplyr::case_when(
substr(pase_0_cut,1,1)==1 ~ "low",
substr(pase_0_cut,1,1) %in% 2:3 ~ "mid",
substr(pase_0_cut,1,1)==4 ~ "high"))
}
}
# hops <- "#66c1a3" # grey
# # drops <- "#990033" # Midtrød
# drops <- "#CE0045" # Lighter Midtrød
# nos <- "grey80" # Light grey
#
# # border <- "#00596B"
# # box <- "#008099"
#
# border <- "#EA571D"
# box <- "#1E4B66"
#
# higher <- "yellow"
# low <- "purple"
library(ggalluvial)
library(ggplot2)
# stRoke::color_plot(viridisLite::turbo (4))
plot_sankey <- function(data,
# palette=viridisLite::turbo(4),
hops = "#66c1a3",
drops = "#CE0045",
hh = "#fcdc9c",
ll = "#fcdc9c",
border = "#EA571D",
box = "#1E4B66",
higher = "#2986cc",
mid = "#b4a7d6",
low = "#590075",
alpha = 0.8,
a1=pase_0_cut,
a2=pase_6_cut,
a1.grp=first_grp,
text.size = 4
){
if (length(unique(data[[ncol(data)]]))>2) {
fills <- c(higher,low,mid)
} else {
fills <- c(higher,low)
}
cls <- c(hh, hops, drops, ll)
# stratum.grp <- c(df[["first_grp"]],df[["last_grp"]])
# cls <- palette
# browser()
ggplot(data, aes(y = n, axis1 = {{a1}}, axis2 = {{a2}})) +
geom_alluvium(
aes(fill = change, color = change),
width = 1 / 16,
alpha = alpha,
knot.pos = 0.4,
curve_type ="sigmoid"
) +
geom_stratum(aes(fill={{a1.grp}}),
# geom_stratum(aes(fill=stratum_grp),
size = 2,
width = 1 / 3.4,
# fill = box,
color = border
) +
geom_text(stat = "stratum",
aes(label = after_stat(stratum)),
colour = "white",
size = text.size,
lineheight = 1) +
scale_x_continuous(
breaks = 1:2,
labels = c("Pre-stroke\nPASE quartile", "Six months\nPASE quartile")
) +
scale_fill_manual(values = c(cls,fills),na.value = box) +
scale_color_manual(values = cls) +
ggtitle("PA level changes from \npre-stroke to post-stroke")
}
## Changes to left colum coloring is needed.
c("change","change_any") |> purrr::map(\(.x){
df_raw |>
sankey_ready(change.var = .x)
}) |>
purrr::map(\(.x){
.x |> plot_sankey(text.size=4.5)
}) |>
patchwork::wrap_plots()
p_delta <- df_raw |>
sankey_ready() |>
plot_sankey(text.size=4.5)
# plotly::ggplotly(p_delta)
# png(
# filename = "sankey_change_ARTICLEA.png",
# units = "mm",
# width = 500,
# height = 600,
# pointsize = 60,
# res = 300
# )
ggplot2::ggsave(filename = "1 PA Decline/sankey_change_ARTICLEA_ejn.png",
p_delta +
theme_void() +
theme(
legend.position = "none",
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
# axis.text.y = element_blank(),
# axis.title.y = element_blank(),
axis.text.x = element_text(),
# text = element_text(size = 5),
plot.title = element_blank(),
# panel.background = element_rect(fill = "white"),
plot.background = element_rect(fill="white"),
panel.border = element_blank()
),
units = "mm",
width = 84,
height = 70,
# pointsize = 30,
dpi = 600)
#
#
ggplot2::ggsave(filename = "1 PA Decline/sankey_change_ARTICLEA.png",
p_delta +
theme_void() +
theme(
legend.position = "none",
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
# axis.text.y = element_blank(),
# axis.title.y = element_blank(),
axis.text.x = element_text(),
text = element_text(size = 20),
plot.title = element_blank(),
# panel.background = element_rect(fill = "white"),
plot.background = element_rect(fill="white"),
panel.border = element_blank()
),
units = "mm",
width = 200,
height = 220,
# pointsize = 30,
dpi = 600)
ggplot2::ggsave(filename = "1 PA Decline/sankey_change_ARTICLEA.pdf",
p_delta +
theme_void() +
theme(
legend.position = "none",
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
# axis.text.y = element_blank(),
# axis.title.y = element_blank(),
axis.text.x = element_text(),
text = element_text(size = 20),
plot.title = element_blank(),
# panel.background = element_rect(fill = "white"),
plot.background = element_rect(fill="white"),
panel.border = element_blank()
),
units = "mm",
width = 200,
height = 220,
# pointsize = 30,
dpi = 1200)
# png(
# filename = "sankey_change_PhDDay.png",
# units = "mm",
# width = 100,
# height = 200,
# pointsize = 15,
# res = 300
# )
# p_delta +
# theme_minimal() +
# theme(
# legend.position = "none",
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
# axis.text.y = element_blank(),
# axis.title.y = element_blank(),
# axis.text.x = element_text(size = 14, face = "bold"),
# plot.title = element_text(hjust = 0.5, vjust = 1, size = 30, face = "bold")
# )
# dev.off()
# png(
# filename = "sankey_change_PhDDay_min.png",
# units = "mm",
# width = 500,
# height = 500,
# pointsize = 15,
# res = 300
# )
# p_delta +
# theme_minimal() +
# theme(
# legend.position = "none",
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
# axis.text.y = element_blank(),
# axis.title.y = element_blank(),
# axis.text.x = element_blank(),
# plot.title = element_blank(),
# panel.background = element_rect(fill = "transparent"),
# plot.background = element_rect(fill = "transparent", color = NA)
# )
# dev.off()
# png(
# filename = "sankey_change_ESOC23.png",
# units = "mm",
# width = 500,
# height = 500,
# pointsize = 60,
# res = 300
# )
# p_delta +
# theme_minimal() +
# theme(
# legend.position = "none",
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
# axis.text.y = element_blank(),
# axis.title.y = element_blank(),
# axis.text.x = element_blank(),
# plot.title = element_blank(),
# panel.background = element_rect(fill = "transparent"),
# plot.background = element_rect(fill = "transparent", color = NA)
# )
# dev.off()