在R中的1个绘图中绘制6个系列

Question

我有以下脚本：

myfunctionSD2 <- function(mydata) { return(sd(mydata,na.rm=TRUE))}
SDmeas <- tapply(datIn$Measurement,list(as.factor(datIn$Measurement.location),as.factor(datIn$Tube.number)),myfunctionSD2)
SDMeasurement <- SDmeas[order(as.numeric(rownames(SDmeas))), ]
dput(SDMeasurement)
structure(c(0.6555264303958, 0.605687762634627, NA, 0.683435292388886, 
NA, 0.615207645374612, NA, 0.739018717912613, NA, 0.79341715750565, 
NA, 0.769473075819677, NA, NA, NA, NA, NA, 0.6555264303958, 0.605687762634627, 
0.576875822240553, NA, 0.502849025908516, NA, 0.516028792109233, 
NA, 0.486023134629369, NA, 0.489281948774758, NA, 0.464851913610455, 
NA, 0.499546896146173, NA, NA, 0.6555264303958, 0.605687762634627, 
NA, 0.683435292388886, NA, 0.615207645374612, NA, 0.739018717912613, 
NA, 0.79341715750565, NA, 0.769473075819677, NA, NA, NA, NA, 
NA, 0.6555264303958, 0.605687762634627, NA, 0.683435292388886, 
NA, 0.615207645374612, NA, 0.739018717912613, NA, 0.79341715750565, 
NA, 0.769473075819677, NA, 0.773437871034822, NA, NA, NA, 0.6555264303958, 
0.605687762634627, NA, 0.683435292388886, NA, 0.615207645374612, 
NA, 0.739018717912613, NA, 0.79341715750565, NA, 0.769473075819677, 
NA, 0.773437871034822, NA, 0.760395526989779, 0.607323723612999, 
0.6555264303958, 0.605687762634627, NA, 0.683435292388886, NA, 
0.615207645374612, NA, 0.739018717912613, NA, 0.79341715750565, 
NA, 0.769473075819677, NA, 0.773437871034822, NA, 0.760395526989779, 
NA), .Dim = c(17L, 6L), .Dimnames = list(c("1", "3", "4", "5", 
"6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", 
"17", "19"), c("1", "2", "3", "4", "5", "6")))

表格的清晰格式如下：

           1         2         3         4         5         6
1  0.6555264 0.6555264 0.6555264 0.6555264 0.6555264 0.6555264
3  0.6056878 0.6056878 0.6056878 0.6056878 0.6056878 0.6056878
4         NA 0.5768758        NA        NA        NA        NA
5  0.6834353        NA 0.6834353 0.6834353 0.6834353 0.6834353
6         NA 0.5028490        NA        NA        NA        NA
7  0.6152076        NA 0.6152076 0.6152076 0.6152076 0.6152076
8         NA 0.5160288        NA        NA        NA        NA
9  0.7390187        NA 0.7390187 0.7390187 0.7390187 0.7390187
10        NA 0.4860231        NA        NA        NA        NA
11 0.7934172        NA 0.7934172 0.7934172 0.7934172 0.7934172
12        NA 0.4892819        NA        NA        NA        NA
13 0.7694731        NA 0.7694731 0.7694731 0.7694731 0.7694731
14        NA 0.4648519        NA        NA        NA        NA
15        NA        NA        NA 0.7734379 0.7734379 0.7734379
16        NA 0.4995469        NA        NA        NA        NA
17        NA        NA        NA        NA 0.7603955 0.7603955
19        NA        NA        NA        NA 0.6073237        NA

此处列标题为Tube.numbers，行标题为Measurement.locations。

我想将每个管编号（如此6行）绘制成一个图表，x轴为测量位置，y轴为标准偏差（表中的计算值）

我尝试使用matplot，但我似乎无法绕过必须拥有相同数量的行和列的必要性。我宁愿在一个循环中这样做。

有人能帮助我吗？

非常感谢！

Answer 1

# Make an empty plot
plot(0, 0, type="n", xlim=c(1, 19), ylim=range(SDMeasurement, na.rm=TRUE))

# Add the lines
for(i in seq(df)){
    y <- SDMeasurement[[i]]
    lines(which(!is.na(y)), na.omit(y), col=i)
}

Answer 2

另一种选择是使用ggplot2来获取一个额外的自动图例（因为你应该用基础图添加manullay）。 首先，您将数据放在长格式中。我在这里使用melt中的reshape2。然后你应该删除缺失的值。一种选择是使用complete.cases。这是我的代码：

library(reshape2)

dat.m <- melt(dat)
library(ggplot2)
ggplot(dat.m[complete.cases(dat.m),]) +
  geom_line(aes(x=Var1,y=value,color=factor(Var2))) +
  xlab("location")+ylab("Measurement")+
  guides(color = guide_legend(title = "Tube numbers"))