我有这组数据
BF Condition SampleID
1 Partially Formula Fed VD25FE8997
2 Exclusively Breast Fed VD25FE8986
3 Exclusively Breast Fed VD25FE8974
4 Exclusively Breast Fed VD25FE8960
5 Exclusively Formula Fed VD25FE8951
我想建立三个“级别”,以便使用箱线图运行 Chao1 索引 纯母乳喂养,部分用于 当我拉高级别时,它们显示为“NULL”
# Convert 'category' to factor if it's not already
VitDSI_Data$BFCondition <- factor(VitDSI_Data$BFCondition)
# Add new levels to the 'category' factor
levelsToAdd <- c("Exclusively Breast Fed", "Partially Breast Fed", "Exclusively Formula Fed")
VitDSI_Data$BFCondition <- factor(VitDSI_Data$BFCondition, levels = c(levels(VitDSI_Data$BFCondition), levelsToAdd))
我尝试了这个,但反过来它又清除了环境中的数据。我不确定如何分配级别以获得以下读数(缩短) 是不是我的“级别”作业太长了?
`## [1] 纯母乳喂养 纯配方奶喂养 部分配方奶喂养
`
要么不要重复使用级别,要么使用
union()
代替 c()
。
> VitDSI_Data$BFCondition <- factor(VitDSI_Data$BFCondition,
+ levels=union(levels(VitDSI_Data$BFCondition),
+ levelsToAdd))
> levels(VitDSI_Data$BFCondition)
[1] "Exclusively Breat Fed" "Exclusively Formula Fed" "Partially Formula Fed"
[4] "Exclusively Breast Fed" "Partially Breast Fed"
数据:
> dput(VitDSI_Data)
structure(list(BFCondition = structure(c(3L, 1L, 1L, 1L, 2L), levels = c("Exclusively Breat Fed",
"Exclusively Formula Fed", "Partially Formula Fed", "Exclusively Breast Fed",
"Partially Breast Fed"), class = "factor"), SampleID = c("VD25FE8997",
"VD25FE8986", "VD25FE8974", "VD25FE8960", "VD25FE8951")), row.names = c("1",
"2", "3", "4", "5"), class = "data.frame")