具有不同颜色变量和平均线的绘图
我在的r中有一个中的数据集[ - 1,1] 5个国家，即（a，b，b，c，d，e）代码>如下：
data <- matrix(runif(n=50, min = -1, max = 1),ncol = 5)
data <- round(data,2)
colnames(data) <-
c("A", "B", "C", "D", "E")
然后，我计算所有国家/地区的每行的平均值：
aver <- as.matrix(rowMeans(data))
rownames(aver) <- c("X1","X2","X3","X4","X5","X6","X7","X8","X9","X10")
我想创建一个带有每个国家/国家（列）的观测值的图，以具有不同的颜色，aver 要包括的行。我正在使用以下内容，但无法正常工作。
plot(c(data),col=c("red","yellow","green","blue","black"))
lines(aver)
最终结果必须看起来像这样，但包括彩色观测值：
我该怎么做？
I have a dataset in R of values in [-1,1] for 5 countries, namely (A,B,C,D,E) as follows:
data <- matrix(runif(n=50, min = -1, max = 1),ncol = 5)
data <- round(data,2)
colnames(data) <-
c("A", "B", "C", "D", "E")
Then I calculate the average value of each row for all countries with the following:
aver <- as.matrix(rowMeans(data))
rownames(aver) <- c("X1","X2","X3","X4","X5","X6","X7","X8","X9","X10")
I want to create a plot with the observations with each country (column) to have different colors and the aver line to be included. I am using the following but can not make it properly work.
plot(c(data),col=c("red","yellow","green","blue","black"))
lines(aver)
The final result must look like this but with colored observations included:
How can I do that??
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