Example 3: Add Labels to Some Points in ggplot2 Scatterplot In Example 3, I’ll explain how to specify labels only for some points that fall into a specific range. For this, we have to modify our label column using theifelse function: ggplot(data, aes(x, y, label=label))+# ggplot...
3.1 如何在点周围添加文本和标签(How to Add Text and Label around the Points) 3.2 如何在绘图中的任何地方添加注释(How to Add Annotations Anywhere inside Plot) 4. 翻转和反转X和Y轴(Flipping and Reversing X and Y Axis) 4.1 如何翻转X和Y轴?(...
Basic scatter plot with ggplot2.However, it’s currently impossible to know which points represent what counties. ggplot’s geom_text() function adds labels to all the points:ma_graph + geom_text(aes(label = Place)) Sharon Machlis ggplot scatter plot with default text labels.geom...
seed(1234) ss <- sample(1:32, 15) df <- mtcars[ss, ] #(2) Create a scatter plot: 绘制散点图 p <- ggplot(df, aes(wt, mpg)) + geom_point(color = 'red') + theme_classic(base_size = 10) #(3) Add text labels: 添加文本标签 # Add text annotations using ggplot2::geom_...
4. 如何更改标题和轴标签(How to Change the Title and Axis Labels) 5. 如何更改点的颜色和大小(How to Change the Color and Size of Points) 5.1 如何将颜色和尺寸更改为静态?(How to Change the Color and Size To Static?) ...
add = "mean") p12 1 2 3 4 5 6 # Add error bars: mean_se 添加不同类型的误差棒 # (other values include: mean_sd, mean_ci, median_iqr, ...) # Add labels p13 <- ggbarplot(df3, x = "dose", y = "len", add = ...
data = subset(dat, Country %in% pointsToLabel), force = 10)) 更改图例region的标签和顺序 我们需要添加更多的东西,然后剩下的就是主题变化。 将我们的图表与原始图表比较,我们注意到颜色图例中region的标签和顺序不同。为了纠正这个问题,我们需要改变region变量的标签和顺序。我们可以用这个factor功能来做到这一点...
'showtext.auto()' is now renamed to 'showtext_auto()' The old version still works, but consider using the new function in future code 'font.add()' is now renamed to 'font_add()' The old version still works, but consider using the new function in future code ...
# Add text at a particular coordinate sp + geom_text(x = 3, y = 30, label = "Scatter plot", color="red") # geom_label进行注释 sp + geom_label(aes(label=rownames(df))) # annotation_custom,需要用到textGrob library(grid) # Create a text grob <- grobTree(textGrob(...
require(ggfree)plot(NA, xlim=range(faithful$eruptions), ylim=range(faithful$waiting), xlab='Duration of eruption (mins)', ylab='Waiting time (mins)')add.grid() # <-- a ggfree function!points(faithful$eruptions, faithful$waiting, pch=21, bg='white') 还可以改一些参数: plot(NA, xlim=...