对于那些在构面网格中有标签的人,我想要更长的刻度线。所以我通过this attempt工作,并尝试将其改编为这样的平面网格图:
定义休息和标签,次要和主要:
range.f <- range(unique(df1$weeks))
minor.f <- 1 # every 1 week, NOTE: range.f[2] should be divisible by minor.f!
major.f <- 5 # every 5 weeks
breaks.f <- seq(range.f[1], range.f[2], minor.f)
every_nth.lt <- function (x, nth) {x[1:nth != 1] <- ""; x}
# (lite version of https://stackoverflow.com/a/34533473/6574038
# works better for me than `insert_minor()`)
labels.f <- every_nth.lt(sequence(range.f[2]), major.f)
n_minor.f <- major.f / minor.f - 1
正常情节:
library(ggplot2)
p.f <- ggplot(df1, aes(weeks, births)) +
geom_bar(stat="identity", fill="#F48024") + theme_bw() +
scale_x_continuous(breaks=breaks.f, labels=labels.f) +
coord_cartesian(xlim=range.f) +
facet_wrap(year ~ .) +
theme(panel.grid = element_blank(),
axis.text.x = element_text(margin=margin(t=5, unit="pt")))
操纵情节:
g.f <- ggplotGrob(p.f)
xaxis.f <- g.f$grobs[grep("^axis-b", g.f$layout$name)] # get x-axes
ticks.f <- do.call(c, lapply(lapply(xaxis.f, "["),
function(x) x$children[[2]])) # get ticks
marks.f <- ticks.f$grobs[[1]] # get tick marks
# editing y-positions of tick marks
marks.f$y <- unit.c(unit.c(unit(1, "npc") - unit(6, "pt"),
unit(1, "npc"),
rep(unit.c(unit(1, "npc") - unit(3, "pt"),
unit(1, "npc")), n_minor.f)))
# putting tick marks back into plot
ticks.f$grobs[[1]] <- marks.f
for(i in seq_along(xaxis.f)) {
xaxis.f[[i]]$children[[2]]$grob <- ticks.f[[i]]
}
g.f$grobs[grep("^axis-b", g.f$layout$name)] <- xaxis.f
绘制情节:
library(grid)
grid.newpage()
grid.draw(g.f)
产量:
我按照链接答案的所有步骤进行了调整,只是根据grob中有列表的情况进行了调整。但是,较长的刻度标记不会显示出来。
有人看到我做错了吗?
或者,也许还有另一种方法可以延长那些带有标签的轴刻度的轴刻度?
预期产出:
最后,所有三个图的刻度应如下所示:
数据:
tmp <- data.frame(date=as.Date(sample(1:1095, 10000, replace=TRUE),
origin="2014-01-01"),
births=sample(0:10, 10000, replace=TRUE))
tmp$year <- factor(substr(tmp$date, 1, 4))
df1 <- aggregate(births ~ date + year, tmp, sum)
rm(tmp) # remove tmp
df1$weeks <- as.integer(strftime(lubridate::floor_date(as.Date(df1$date,
format="%m/%d/%Y"),
unit="week"), "%W")) + 1
我相信你可以改进这一点。我只是通过它完成并正确地拉出来并放回去。主要是通过将它与单个绘图进行比较,然后将其循环到一个grobs列表上。
范围和休息时间可能需要改变,因为这里它们都是相同的,但是使用不同的x-axes
你可以适当地定制休息时间。
tmp <- data.frame(date=as.Date(sample(1:1095, 10000, replace=TRUE),
origin="2014-01-01"),
births=sample(0:10, 10000, replace=TRUE))
tmp$year <- factor(substr(tmp$date, 1, 4))
df1 <- aggregate(births ~ date + year, tmp, sum)
rm(tmp) # remove tmp
df1$weeks <- as.integer(strftime(lubridate::floor_date(as.Date(df1$date,
format="%m/%d/%Y"),
unit="week"), "%W")) + 1
# breaks and labels, minor and major
range.f <- 1:(max(unique(df1$weeks)))
minor.f <- 1 # every 1 week, NOTE: range.f[2] should be divisible by minor.f!
major.f <- 5 # every 5 weeks
breaks.f <- seq(min(range.f), max(range.f), minor.f)
every_nth.lt <- function (x, nth) {x[1:nth != 1] <- ""; x}
# (lite version of https://stackoverflow.com/a/34533473/6574038)
labels.f <- every_nth.lt(range.f, major.f)
n_minor.f <- major.f / minor.f - 1
# plot
library(ggplot2)
library(grid)
p.f <- ggplot(df1, aes(weeks, births)) +
geom_bar(stat="identity", fill="#F48024") + theme_bw() +
scale_x_continuous(breaks=breaks.f, labels=labels.f) +
coord_cartesian(xlim=range.f) +
facet_wrap(year ~ .) +
theme(panel.grid = element_blank(),
axis.text.x = element_text(margin=margin(t=5, unit="pt")))
# manipulating plot
g.f <- ggplotGrob(p.f)
xaxis.f <- g.f$grobs[grep("^axis-b", g.f$layout$name)] # get x-axes
ticks.f <- c()
for(i in seq_along(xaxis.f)) {
ticks.f[[i]] <- xaxis.f[[i]]$children[[2]]
}
marks.f <- c()
for(i in seq_along(ticks.f)) {
marks.f[[i]] <- ticks.f[[i]][1]$grobs
}
# editing y-positions of tick marks
for(i in seq_along(marks.f)) {
marks.f[[i]][[1]]$y <- unit.c(unit.c(unit(1, "npc") - unit(6, "pt"),
unit(1, "npc"),
rep(unit.c(unit(1, "npc") - unit(3, "pt"),
unit(1, "npc")), n_minor.f)))
}
# putting tick marks back into plot
for(i in seq_along(ticks.f)) {
ticks.f[[i]]$grobs[[1]] <- marks.f[[i]][[1]]
}
for(i in seq_along(xaxis.f)) {
xaxis.f[[i]]$children[[2]] <- ticks.f[[i]]
}
g.f$grobs[grep("^axis-b", g.f$layout$name)] <- xaxis.f
# plot
grid.newpage()
grid.draw(g.f)
这里是我开始的修改后的代码,只有少量的for
循环。
# Defining breaks and labels, minor and major:
range.f <- range(unique(df1$weeks))
minor.f <- 1 # every 1 week, NOTE: range.f[2] should be divisible by minor.f!
major.f <- 5 # every 5 weeks
breaks.f <- seq(range.f[1], range.f[2], minor.f)
every_nth.lt <- function (x, nth) {x[1:nth != 1] <- ""; x}
# (lite version of https://stackoverflow.com/a/34533473/6574038
# works better for me than `insert_minor()`)
labels.f <- every_nth.lt(sequence(range.f[2]), major.f)
n_minor.f <- major.f / minor.f - 1
# Normal plot:
library(ggplot2)
p.f <- ggplot(df1, aes(weeks, births)) +
geom_bar(stat="identity", fill="#F48024") + theme_bw() +
scale_x_continuous(breaks=breaks.f, labels=labels.f) +
coord_cartesian(xlim=range.f) +
facet_wrap(year ~ .) +
theme(panel.grid = element_blank(),
axis.text.x = element_text(margin=margin(t=5, unit="pt")))
# Manipulating plot:
g.f <- ggplotGrob(p.f)
xaxis.f <- g.f$grobs[grep("^axis-b", g.f$layout$name)] # get x-axes
ticks.f <- lapply(lapply(xaxis.f, "["),
function(x) x$children[[2]]) # get ticks
marks.f <- lapply(lapply(ticks.f, "["),
function(x) x[1]$grobs) # get ticks
# editing y-positions of tick marks
library(grid)
marks.f <- lapply(marks.f, function(x) {
x[[1]]$y <- unit.c(unit.c(unit(1, "npc") - unit(6, "pt"),
unit(1, "npc"),
rep(unit.c(unit(1, "npc") - unit(3, "pt"),
unit(1, "npc")), n_minor.f)))
x
})
# putting tick marks back into plot
for(i in seq_along(ticks.f)) {
ticks.f[[i]]$grobs[[1]] <- marks.f[[i]][[1]]
}
for(i in seq_along(xaxis.f)) {
xaxis.f[[i]]$children[[2]] <- ticks.f[[i]]
}
g.f$grobs[grep("^axis-b", g.f$layout$name)] <- xaxis.f
# Drawing the plot:
grid.newpage()
grid.draw(g.f)
tmp <- data.frame(date=as.Date(sample(1:1095, 10000, replace=TRUE),
origin="2014-01-01"),
births=sample(0:10, 10000, replace=TRUE))
tmp$year <- factor(substr(tmp$date, 1, 4))
df1 <- aggregate(births ~ date + year, tmp, sum)
rm(tmp) # remove tmp
df1$weeks <- as.integer(strftime(lubridate::floor_date(as.Date(df1$date,
format="%m/%d/%Y"),
unit="week"), "%W")) + 1