R - 彼らはゼロ

Question

であっても、私はこの短いデータフレームを持って、すべての条件の値を含むように設定データをリシェイプ：すべての地域および年のエントリが値を含めるように

population.served <- c(200:210) 
area <- c("Cambridge", "Oxford","Cambridge", "Oxford", "Cambridge", "Oxford","London","Cambridge", "Oxford", "London","Edinburgh") 
year <- c("Year.1", "Year.1","Year.2", "Year.2","Year.3", "Year.3","Year.3", "Year.4", "Year.4","Year.4","Year.4") 
data <- data.frame(population.served, area, year) 

がどのように私はそれを作るのですかpopulation.servedはゼロ値であっても？

私は、データが次のようになりたい：

population.served <- c(200, 201, 0, 0, 202, 203, 0, 0, 204, 205, 206, 0, 207, 208, 209, 210) 
area <- c("Cambridge", "Oxford","London","Edinburgh", "Cambridge", "Oxford","London","Edinburgh","Cambridge", "Oxford","London","Edinburgh","Cambridge", "Oxford","London","Edinburgh") 
year <- c("Year.1", "Year.1","Year.1", "Year.1","Year.2", "Year.2","Year.2", "Year.2","Year.3", "Year.3","Year.3", "Year.3","Year.4", "Year.4","Year.4","Year.4") 
data2 <- data.frame(population.served, area, year) 

Answer 1

あなたがパッケージtidyrからcompleteを使用することができます。

library("tidyr") 
data %>% complete(area, year, fill = list(population.served = 0)) 
# # A tibble: 16 × 3 
#   area year population.served 
#  <fctr> <fctr>    <dbl> 
# 1 Cambridge Year.1    200 
# 2 Cambridge Year.2    202 
# 3 Cambridge Year.3    204 
# 4 Cambridge Year.4    207 
# 5 Edinburgh Year.1     0 
# 6 Edinburgh Year.2     0 
# 7 Edinburgh Year.3     0 
# 8 Edinburgh Year.4    210 
# ..... 

Answer 2

はここにあなたのテーブルを記入するベースRからexpand.gridを使用して、1つのアプローチです：

# make a dummy table with all time steps for all units 
DF <- with(data, expand.grid(area = unique(area), year = unique(year))) 

# merge the data with that table, using all.x = TRUE to keep the larger set 
DF <- merge(DF, data, all.x = TRUE) 

# replace the NAs in the expanded data frame with 0s 
DF[is.na(DF)] = 0 

Answer 3

速いdata.tableパッケージ：

library(data.table) 
setDT(data)[CJ(area = area, year = year, unique = TRUE), on = c('area', 'year') 
      ][is.na(population.served), population.served := 0][] 

結果は次のようになります。

population.served  area year 
1:    200 Cambridge Year.1 
2:    202 Cambridge Year.2 
3:    204 Cambridge Year.3 
4:    207 Cambridge Year.4 
5:     0 Edinburgh Year.1 
6:     0 Edinburgh Year.2 
7:     0 Edinburgh Year.3 
8:    210 Edinburgh Year.4 
9:     0 London Year.1 
10:     0 London Year.2 
11:    206 London Year.3 
12:    209 London Year.4 
13:    201 Oxford Year.1 
14:    203 Oxford Year.2 
15:    205 Oxford Year.3 
16:    208 Oxford Year.4