我有一个具有纵向结构的数据框,如下所示:
df = structure(list(oslaua = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L), .Label = c("E06000001", "E06000002",
"E06000003", "E06000004"), class = "factor"), wave = structure(c(1L,
2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L), .Label = c("0",
"1", "2", "3"), class = "factor"), old.la = structure(c(1L, 1L,
NA, 1L, 2L, 2L, 2L, NA, 3L, 3L, 3L, 3L, 4L, 4L, NA), .Label = c("00EB",
"00EC", "00EE", "00EF"), class = "factor"), la = structure(c(1L,
1L, NA, 1L, 2L, 2L, 2L, NA, 3L, 3L, 3L, 3L, 4L, 4L, NA), .Label = c("Hartlepool UA",
"Middlesbrough UA", "Redcar and Cleveland UA", "Stockton-on-Tees UA"
), class = "factor"), dclg.code = structure(c(1L, 1L, NA, 1L,
4L, 4L, 4L, NA, 3L, 3L, 3L, 3L, 2L, 2L, NA), .Label = c("H0724",
"H0738", "V0728", "W0734"), class = "factor"), novo_entries = c(24L,
4L, 0L, 1L, 35L, 15L, 1L, 0L, 49L, 7L, 2L, 2L, 40L, 14L, 0L)), .Names = c("oslaua",
"wave", "old.la", "la", "dclg.code", "novo_entries"), row.names = c(NA,
15L), class = "data.frame")
我的标识符变量是oslaua
,我的时间变量是wave
。old.la
,la
并且dclg.code
是具有NA因子变量。我的目标包括NA
使用与每个标识符(oslaua
)关联的每个变量的级别对my进行重新编码。我尝试old.la
使用以下方法来执行此操作:
df = df %>% group_by(oslaua) %>% mutate(old.la.1 = ifelse(is.na(old.la), unique(old.la), old.la)) %>% as.data.frame()
我部分实现了我的目标,但是您可以看到一些问题:
> df
oslaua wave old.la la dclg.code novo_entries old.la.1
1 E06000001 0 00EB Hartlepool UA H0724 24 1
2 E06000001 1 00EB Hartlepool UA H0724 4 1
3 E06000001 2 <NA> <NA> <NA> 0 2
4 E06000001 3 00EB Hartlepool UA H0724 1 1
5 E06000002 0 00EC Middlesbrough UA W0734 35 2
6 E06000002 1 00EC Middlesbrough UA W0734 15 2
7 E06000002 2 00EC Middlesbrough UA W0734 1 2
8 E06000002 3 <NA> <NA> <NA> 0 2
9 E06000003 0 00EE Redcar and Cleveland UA V0728 49 3
10 E06000003 1 00EE Redcar and Cleveland UA V0728 7 3
11 E06000003 2 00EE Redcar and Cleveland UA V0728 2 3
12 E06000003 3 00EE Redcar and Cleveland UA V0728 2 3
13 E06000004 0 00EF Stockton-on-Tees UA H0738 40 4
14 E06000004 1 00EF Stockton-on-Tees UA H0738 14 4
15 E06000004 2 <NA> <NA> <NA> 0 4
具体而言,这些因素的水平会改变其格式,并且在某些情况下还会错误地将观测值重新编码(例如oslaua = E06000001
-第3行)
我不明白为什么这些级别会更改其格式以及如何保持其原始(字母数字)格式。此外,为什么某些观察结果未正确记录。
任何解决这些问题的建议都非常感谢。
谢谢!
这是使用的另一种选择 data.table
library(data.table)
setDT(df)[, old.la1 := levels(droplevels(old.la)), by = oslaua]
对于多列
nm1 <- c("old.la", "la", "dclg.code")
df1 <- setDT(df)[, lapply(.SD, function(x) levels(droplevels(x))[1]) ,
by = oslaua, .SDcols = nm1][df, on = "oslaua"]
df1[, !grepl("i\\.", names(df1)), with = FALSE]
我们最初的想法是
setDT(df)[, (nm1) := lapply(.SD, function(x)
factor(levels(droplevels(x)))) , by = oslaua, .SDcols = nm1]
但是由于某种原因,factor
在每个组中进行转换都会得到一些奇怪的输出,对于输出中的每一列都只有一个级别(使用v1.10.0)
本文收集自互联网,转载请注明来源。
如有侵权,请联系 [email protected] 删除。
我来说两句