我想绘制一个受限制的三次样条曲线作为主图,并添加一个盒子和须状图来显示X变量的变化。但是,下铰链(x = 42),中间(x = 51)和上铰链(x = 61)与主图的相应网格线不完全吻合。
library(Hmisc)
library(rms)
library(ggplot2)
library(gridExtra)
data(pbc)
d <- pbc
rm(pbc)
d$status <- ifelse(d$status != 0, 1, 0)
dd = datadist(d)
options(datadist='dd')
f <- cph(Surv(time, status) ~ rcs(age, 4), data=d)
p <- Predict(f, fun=exp)
df <- data.frame(age=p$age, yhat=p$yhat, lower=p$lower, upper=p$upper)
### 1st PLOT: main plot
(g <- ggplot(data=df, aes(x=age, y=yhat)) + geom_line(size=1))
# CI
(g <- g + geom_ribbon(data=df, aes(ymin=lower, ymax=upper), alpha=0.5, linetype=0, fill='#FFC000'))
# white background
(g <- g + theme_bw())
# X-axis
(breaks <- round(boxplot.stats(p[,"age"])$stats))
(g <- g + scale_x_continuous(breaks=breaks, limits=range(p[,"age"]), labels=round(breaks)))
(g <- g + xlab("Age"))
# Y-Achse
(g <- g + ylab("Hazard Ratio"))
# size and color of axis
(g <- g + theme(axis.line = element_line(color='black', size=1)))
(g <- g + theme(axis.ticks = element_line(color='black', size=1)))
(g <- g + theme( plot.background = element_blank() ))
#(g <- g + theme( panel.grid.major = element_blank() ))
(g <- g + theme( panel.grid.minor = element_blank() ))
(g <- g + theme( panel.border = element_blank() ))
### 2nd PLOT: box whisker plot
describe(df$age, digits=0)
round(range(df$age))
(gg <- ggplot(data=df, aes(x=1, y=age)) + geom_boxplot(outlier.shape=NA, size=1) + coord_flip())
(gg <- gg + theme( axis.line=element_blank() )) #
(gg <- gg + theme( axis.text.x=element_blank() ))
(gg <- gg + theme( axis.text.y=element_blank() ))
(gg <- gg + theme( axis.ticks=element_blank() ))
(gg <- gg + theme( axis.title.x=element_blank() ))
(gg <- gg + theme( axis.title.y=element_blank() ))
(gg <- gg + theme( panel.background=element_blank() ))
(gg <- gg + theme( panel.border=element_blank() )) #
(gg <- gg + theme( legend.position="none" )) #
(gg <- gg + theme( panel.grid.major=element_blank() )) #
(gg <- gg + theme( panel.grid.minor=element_blank() ))
(gg <- gg + theme( plot.background=element_blank() ))
(gg <- gg + theme( plot.margin = unit( c(0,0,0,0), "in" ) ))
(gg <- gg + scale_x_continuous(breaks=c(70,77,84), expand=c(0,0)) )
### FINAL PLOT: put box whisker plot in main plot
(final.gg <- g + annotation_custom(ggplotGrob(gg), ymin=2.4, ymax=2.6))
更新#1 感谢您的回答!下面你可以看到我的代码示例。但是,如您所见,下铰链,中间和上铰链仍然不适合。出了什么问题?
library(Hmisc)
library(rms)
library(ggplot2)
library(gridExtra)
data(pbc)
d <- pbc
rm(pbc, pbcseq)
d$status <- ifelse(d$status != 0, 1, 0)
dd = datadist(d)
options(datadist='dd')
f <- cph(Surv(time, status) ~ rcs(age, 4), data=d)
p <- Predict(f, fun=exp)
df <- data.frame(age=p$age, yhat=p$yhat, lower=p$lower, upper=p$upper)
### 1st PLOT: main plot
(breaks <- boxplot.stats(p[,"age"])$stats)
g <- ggplot(data=df, aes(x=age, y=yhat)) + geom_line(size=1) +
geom_ribbon(data=df, aes(ymin=lower, ymax=upper), alpha=0.5, linetype=0, fill='#FFC000') +
theme_bw() +
scale_x_continuous(breaks=breaks) +
xlab("Age") +
ylab("Hazard Ratio") +
theme(axis.line = element_line(color='black', size=1),
axis.ticks = element_line(color='black', size=1),
plot.background = element_blank(),
# panel.border = element_blank(),
panel.grid.minor = element_blank())
### 2nd PLOT: box whisker plot
gg <- ggplot(data=df, aes(x=1, y=age)) +
geom_boxplot(outlier.shape=NA, size=1) +
scale_y_continuous(breaks=breaks) +
ylab(NULL) +
coord_flip() +
# theme_bw() +
theme(axis.line=element_blank(),
# axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks.y=element_blank(),
axis.title=element_blank(),
# panel.background=element_blank(),
panel.border=element_blank(),
# panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
# plot.background=element_blank(),
plot.margin = unit( c(0,0,0,0), "in" ),
axis.ticks.margin = unit(0, "lines"),
axis.ticks.length = unit(0, "cm"))
### FINAL PLOT: put box whisker plot in main plot
(final.gg <- g + annotation_custom(ggplotGrob(gg), ymin=2.4, ymax=2.6))
答案 0 :(得分:4)
次要编辑:更新到ggplot2 2.0.0
不推荐使用axis.ticks.margin
在箱线图中,即使您已将各种元素设置为element_blank
且边距设置为零,默认空格仍然会导致未对齐。这些空间属于:
在下面的代码中,我稍微重新安排了您的代码(我希望没问题),并注释掉了一些代码行,以便可以看出这两个图对齐。我还将两个图中的断点设置为非舍入breaks
(最小值和最大值,铰链和中位数)。
# X-axis
(breaks <- boxplot.stats(p[,"age"])$stats)
### 1st PLOT: main plot
g <- ggplot(data=df, aes(x=age, y=yhat)) + geom_line(size=1) +
geom_ribbon(data=df, aes(ymin=lower, ymax=upper), alpha=0.5, linetype=0, fill='#FFC000') +
theme_bw() +
scale_x_continuous(breaks=breaks) +
xlab("Age") +
ylab("Hazard Ratio") +
theme(axis.line = element_line(color='black', size=1),
axis.ticks = element_line(color='black', size=1),
plot.background = element_blank(),
# panel.border = element_blank(),
panel.grid.minor = element_blank())
### 2nd PLOT: box whisker plot
gg <- ggplot(data=df, aes(x=1, y=age)) +
geom_boxplot(outlier.shape=NA, size=1) +
scale_y_continuous(breaks=breaks) +
xlab(NULL) +
coord_flip() +
# theme_bw() +
theme(axis.line=element_blank(),
# axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks.y=element_blank(),
axis.title=element_blank(),
# panel.background=element_blank(),
panel.border=element_blank(),
# panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
# plot.background=element_blank(),
plot.margin = unit( c(0,0,0,0), "in" ),
# axis.ticks.margin = unit(0, "lines"),
axis.ticks.length = unit(0, "cm"))
### FINAL PLOT: put box whisker plot in main plot
(final.gg <- g + annotation_custom(ggplotGrob(gg), ymin=2.4, ymax=2.6))
您应该注意,ggplot计算铰链的方法与boxplot.stats
使用的方法略有不同。
# ggplot's hinges
bp = ggplot(data=df, aes(x=1, y=age)) +
geom_boxplot(outlier.shape=NA, size=1)
bpData = ggplot_build(bp)
bpData$data[[1]][1:5]
答案 1 :(得分:3)
Alternative answer using var Array = ["Iphone", "겔럭시", "베가아이언"]
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// Dispose of any resources that can be recreated.
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func pickerView(pickerView: UIPickerView, titleForRow row: Int, forComponent component: Int) -> String! {
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}
func pickerView(pickerView: UIPickerView, numberOfRowsInComponent component: Int) -> Int {
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func numberOfComponentsInPickerView(pickerView: UIPickerView) -> Int {
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}
@IBAction func buttonTapped(sender: AnyObject) {
label.text = Array[row] ///this part error "use of unresolved identifier row"
}
functions to position the boxplot outside the main plot. The height of the box plot can be adjusted using the "h" parameter
gtable