Rom*_*rik 5 graphics r word-wrap ggplot2
我正在制作一个相当宽的图像,列出目标练习的连续训练课程.

目前,这不是非常有用的图形,我需要将图像包装成几行,以使每个训练集的数据更加可见.到目前为止,我一直在通过引入第二个变量来管理它,该变量表示训练集所属的行.退缩是现在我在每一行上方都有一条带,几乎没有用处.

另一种方法是将每一行生成为单独的数字并使用gridExtra's' 合并它们grid.arrange.
我正在寻找其他(优雅)方式将宽图包装成多行.如果可能的话,我想在每个方面都没有条带.欢迎所有建议.
这是我用来生成这些图像的代码.
library(ggplot2)
library(reshape2)
st <- 23 # number of training sets
sk <- 10 # number of shots per training set
dt <- sample(7:10, size = st * sk, prob = c(0.005, 0.15, 0.195, 0.65), replace = TRUE)
rslt <- as.data.frame(matrix(dt, nrow = 10))
names(rslt) <- paste("trening", seq_len(ncol(rslt)), sep = "")
rsltm <- melt(rslt, variable.name = "trening", value.name = "rezultat")
rsltm$trening <- ordered(rsltm$trening)
n <- 5 # number of trainings per row
st.vrst <- round(st/n)
vrsta <- paste("vrsta", seq_len(st.vrst), sep = "")
rsltm$vrsta <- rep(vrsta, each = sk * n, length.out = nrow(rsltm))
rm(vrsta)
# wide figure
ggplot(rsltm, aes(x = trening, y = rezultat)) +
geom_dotplot(binaxis = "y", stackdir = "center", show_guide = FALSE) +
scale_fill_manual(values = rep("red", st)) +
theme_bw()
# wrapped figure
ggplot(rsltm, aes(x = trening, y = rezultat, fill = trening)) +
geom_dotplot(binaxis = "y", stackdir = "center", show_guide = FALSE) +
scale_fill_manual(values = rep("red", st)) +
facet_wrap(~vrsta, nrow = st.vrst, scales = "free_x") +
theme_bw()
Run Code Online (Sandbox Code Playgroud)
要删除小图上方的条状文本,您可以elemnt_blank()为这些元素设置。
# wrapped figure
ggplot(rsltm, aes(x = trening, y = rezultat, fill = trening)) +
geom_dotplot(binaxis = "y", stackdir = "center", show_guide = FALSE) +
scale_fill_manual(values = rep("red", st)) +
facet_wrap(~vrsta, nrow = st.vrst, scales = "free_x") +
theme_bw() + theme(strip.text=element_blank(),
strip.background=element_blank())
Run Code Online (Sandbox Code Playgroud)
改进绘图的一种方法是将标签放置trening在绘图区域内。
为此目的,df.names创建了新的数据框。行数对应于 的级别trening。
df.names<-data.frame(lab.nam=unique(rsltm$trening), #labels
x=rep(1:5, times = 5, length.out = 23), #x coordinate (1:5)
y=rep(11,23), #y coordinate (11)
vrsta=rep(vrsta, each = 5, length.out = 23)) #vrsta values to ensure position in facets
Run Code Online (Sandbox Code Playgroud)
生成没有 x 轴标签的图的代码。panel.margin=确保面之间的空间更小。
p <- ggplot(rsltm, aes(x = trening, y = rezultat)) +
geom_dotplot(binaxis = "y", stackdir = "center", show_guide = FALSE) +
scale_fill_manual(values = rep("red", st)) +
facet_wrap(~vrsta, nrow = st.vrst, scales = "free_x") +
theme_bw() + theme(strip.text=element_blank(),
strip.background=element_blank(),
panel.margin = unit(-0.6, "lines"),
panel.grid.minor=element_blank()) +
scale_y_continuous(limits=c(7.5,11.5),breaks=c(8,9,10)) +
scale_x_discrete(breaks=NULL)
Run Code Online (Sandbox Code Playgroud)
geom_text()点上方有位置标签。
p + geom_text(data=df.names,aes(x, y, label=lab.nam),size=4)
Run Code Online (Sandbox Code Playgroud)
