如何基于组合同一列中多个变量的值创建新变量并删除组合时使用的旧变量
[英]How Can I create a new variable, based on combining the values of several variables in same column and remove the old variables used when combining
问题描述
First ever question on here.
第一个问题在这里。 Stackoverflow has been an amazing resource so thank you to all who actively contribute. Stackoverflow 一直是一个了不起的资源，所以感谢所有积极贡献的人。
I need to create a new variable in a column.我需要在列中创建一个新变量。 This variable needs to be the sum of the values of three other variables (in the same column).该变量需要是其他三个变量的值的总和（在同一列中）。 The problem here, is that I have another column with two years, and need to keep the years.这里的问题是，我还有一个两年的专栏，需要保留这些年。 Issue here being the new variable would be duplicated in two different places and this needs to be the case.这里的问题是新变量将在两个不同的地方重复，这需要如此。 (Porting to Tableau for visualization of unemployment) （移植到 Tableau 以实现失业可视化）
I have summarized using Dplyr to hopefully give you an an idea of the issue I'm facing, and how best to resolve it.我已经使用 Dplyr 进行了总结，希望能让您了解我面临的问题，以及如何最好地解决它。 Link to Tibble链接到 Tibble
I need to combine 'Dun Laoghaire Rathdown', 'Dublin City' and 'South Dublin' into one variable called 'Dublin'.我需要将“Dun Laoghaire Rathdown”、“Dublin City”和“South Dublin”组合成一个名为“Dublin”的变量。 These appear in both 2011, and 2016. The three variables being combined need to be removed so that the new variable 'Dublin' appears in their place as one row per census year (ie - three variables removed per census year, and one variable called 'Dublin' going in their place)这些出现在 2011 年和 2016 年。需要删除组合的三个变量，以便新变量“都柏林”出现在每个人口普查年的一行中（即 - 每个人口普查年删除三个变量，一个变量称为'都柏林'代替他们）
Console output using Dput on my tibble:控制台 output 在我的 tibble 上使用 Dput：
structure(list(Census_Year = c(2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), County.and.City = c("Carlow", "Cavan", "Clare", "Cork City", "Cork County", "Dún Laoghaire-Rathdown", "Donegal", "Dublin City", "Fingal", "Galway City", "Galway County", "Kerry", "Kildare", "Kilkenny", "Laois", "Leitrim", "Limerick City and County", "Longford", "Louth", "Mayo", "Meath", "Monaghan", "Offaly", "Roscommon", "Sligo", "South Dublin", "Tipperary", "Waterford City and County", "Westmeath", "Wexford", "Wicklow", "Carlow", "Cavan", "Clare", "Cork City", "Cork County", "Dún Laoghaire-Rathdown", "Donegal", "Dublin City",结构（列表（CENSUS_YEAR = C（2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L 2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2011L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，2016L，， 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), County.and.City = c("Carlow",克莱尔”、“科克市”、“科克县”、“Dún Laoghaire-Rathdown”、“多尼戈尔”、“都柏林市”、“芬格尔”、“戈尔韦市”、“戈尔韦县”、“克里”、“基尔代尔” 、“基尔肯尼”、“老挝”、“利特里姆”、“利默里克市和县”、“朗福德”、“劳斯”、“梅奥”、“米斯”、“莫纳汉”、“奥法利”、“罗斯康芒”、“斯莱戈” ”、“南都柏林”、“蒂珀雷里”、“沃特福德市和县”、“韦斯特米斯”、“韦克斯福德”、“威克洛”、“卡洛”、“卡文”、“克莱尔”、“科克市”、“科克县” ", "Dún Laoghaire-Rathdown", "多尼戈尔", "都柏林市", "Fingal", "Galway City", "Galway County", "Kerry", "Kildare", "Kilkenny", "Laois", "Leitrim", "Limerick City and County", "Longford", "Louth", "Mayo", "Meath", "Monaghan", "Offaly", "Roscommon", "Sligo", "South Dublin", "Tipperary", "Waterford City and County", "Westmeath", "Wexford", "Wicklow"), Total = c(5908L, 7331L, 10542L, 12266L, 28603L, 11071L, 18869L, 51699L, 22640L, 7234L, 15311L, 13519L, 18639L, 8992L, 8260L, 3047L, 18537L, 4562L, 13792L, 11866L, 16292L, 5982L, 8313L, 5856L, 5624L, 26039L, 14996L, 11572L, 8637L, 16170L, 12674L, 4507L, 5413L, 7018L, 8943L, 18287L, 7716L, 12829L, 39200L, 15415L, 5175L, 9938L, 8701L, 12297L, 6044L, 6068L, 2163L, 12935L, 3701L, 10058L, 8591L, 10523L, 3831L, 5744L, 3847L, 4250L, 18265L, 10867L, 8323L, 6666L, 11478L, 8603L)), row.names = c(NA, -62L), groups = structure(list(Census_Year = c(2011L, 2016L), .rows = structure(list(1:31, 32:62), ptype = integer(0), class = c("vctrs_list_of", "vctrs_vctr", "list"))), row.nam “Fingal”、“Galway City”、“Galway County”、“Kerry”、“Kildare”、“Kilkenny”、“Laois”、“Leitrim”、“Limerick City and County”、“Longford”、“Louth”、“ Mayo”、“Meath”、“Monaghan”、“Offaly”、“Roscommon”、“Sligo”、“South Dublin”、“Tipperary”、“Waterford City and County”、“Westmeath”、“Wexford”、“Wicklow” ), Total = c(5908L, 7331L, 10542L, 12266L, 28603L, 11071L, 18869L, 51699L, 22640L, 7234L, 15311L, 13519L, 18639L, 8992L, 8260L, 3047L, 18537L, 4562L, 13792L, 11866L, 16292L, 5982L, 8313L, 5856L, 5624L, 26039L, 14996L, 11572L, 8637L, 16170L, 12674L, 4507L, 5413L, 7018L, 8943L, 18287L, 7716L, 12829L, 39200L, 15415L, 5175L, 9938L, 8701L, 12297L, 6044L, 6068L, 2163L, 12935L, 3701L, 10058L, 8591L, 10523L, 3831L, 5744L, 3847L, 4250L, 18265L, 10867L, 8323L, 6666L, 11478L, 8603L)), row.names = c(NA, -62L) Census_Year = c(2011L, 2016L), .rows = structure(list(1:31, 32:62), ptype = integer(0), class = c("vctrs_list_of", "vctrs_vctr", "list"))) , 行名称es = 1:2, class = c("tbl_df", "tbl", "data.frame"), .drop = TRUE), class = c("grouped_df", "tbl_df", "tbl", "data.frame")) es = 1:2, class = c("tbl_df", "tbl", "data.frame"), .drop = TRUE), class = c("grouped_df", "tbl_df", "tbl", "data.框架”））
Thanks in advance,提前致谢，
Regards, R问候， R
1 个解决方案
解决方案1
1 2021-04-07 21:29:52
Like so:像这样：
df <- structure(list(Census_Year = c(2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L), County.and.City = c("Carlow", "Cavan", "Clare", "Cork City", "Cork County", "Dún Laoghaire-Rathdown", "Donegal", "Dublin City", "Fingal", "Galway City", "Galway County", "Kerry", "Kildare", "Kilkenny", "Laois", "Leitrim", "Limerick City and County", "Longford", "Louth", "Mayo", "Meath", "Monaghan", "Offaly", "Roscommon", "Sligo", "South Dublin", "Tipperary", "Waterford City and County", "Westmeath", "Wexford", "Wicklow", "Carlow", "Cavan", "Clare", "Cork City", "Cork County", "Dún Laoghaire-Rathdown", "Donegal", "Dublin City", "Fingal", "Galway City", "Galway County", "Kerry", "Kildare", "Kilkenny", "Laois", "Leitrim", "Limerick City and County", "Longford", "Louth", "Mayo", "Meath", "Monaghan", "Offaly", "Roscommon", "Sligo", "South Dublin", "Tipperary", "Waterford City and County", "Westmeath", "Wexford", "Wicklow"), Total = c(5908L, 7331L, 10542L, 12266L, 28603L, 11071L, 18869L, 51699L, 22640L, 7234L, 15311L, 13519L, 18639L, 8992L, 8260L, 3047L, 18537L, 4562L, 13792L, 11866L, 16292L, 5982L, 8313L, 5856L, 5624L, 26039L, 14996L, 11572L, 8637L, 16170L, 12674L, 4507L, 5413L, 7018L, 8943L, 18287L, 7716L, 12829L, 39200L, 15415L, 5175L, 9938L, 8701L, 12297L, 6044L, 6068L, 2163L, 12935L, 3701L, 10058L, 8591L, 10523L, 3831L, 5744L, 3847L, 4250L, 18265L, 10867L, 8323L, 6666L, 11478L, 8603L)), row.names = c(NA, -62L), groups = structure(list(Census_Year = c(2011L, 2016L), .rows = structure(list(1:31, 32:62), ptype = integer(0), class = c("vctrs_list_of", "vctrs_vctr", "list"))), row.names = 1:2, class = c("tbl_df", "tbl", "data.frame"), .drop = TRUE), class = c("grouped_df", "tbl_df", "tbl", "data.frame"))
i <- grepl( "Dublin|Dun Laoghaire Rathdown", df$County.and.City )
df$County.and.City[ i ] <- "Dublin"
df %<>% group_by( Census_Year, County.and.City ) %>%
summarize( Total = sum(Total) )
print.data.frame(df)
You didn't say so, but I assume you meant to sum up the total for these three districts, to a Dublin total?你没有这么说，但我想你是想把这三个区的总数加起来，成为都柏林的总数？
Output: Output：
Census_Year County.and.City Total
1 2011 Carlow 5908
2 2011 Cavan 7331
3 2011 Clare 10542
4 2011 Cork City 12266
5 2011 Cork County 28603
6 2011 Dún Laoghaire-Rathdown 11071
7 2011 Donegal 18869
8 2011 Dublin 77738
9 2011 Fingal 22640
10 2011 Galway City 7234
11 2011 Galway County 15311
12 2011 Kerry 13519
13 2011 Kildare 18639
14 2011 Kilkenny 8992
15 2011 Laois 8260
16 2011 Leitrim 3047
17 2011 Limerick City and County 18537
18 2011 Longford 4562
19 2011 Louth 13792
20 2011 Mayo 11866
21 2011 Meath 16292
22 2011 Monaghan 5982
23 2011 Offaly 8313
24 2011 Roscommon 5856
25 2011 Sligo 5624
26 2011 Tipperary 14996
27 2011 Waterford City and County 11572
28 2011 Westmeath 8637
29 2011 Wexford 16170
30 2011 Wicklow 12674
31 2016 Carlow 4507
32 2016 Cavan 5413
33 2016 Clare 7018
34 2016 Cork City 8943
35 2016 Cork County 18287
36 2016 Dún Laoghaire-Rathdown 7716
37 2016 Donegal 12829
38 2016 Dublin 57465
39 2016 Fingal 15415
40 2016 Galway City 5175
41 2016 Galway County 9938
42 2016 Kerry 8701
43 2016 Kildare 12297
44 2016 Kilkenny 6044
45 2016 Laois 6068
46 2016 Leitrim 2163
47 2016 Limerick City and County 12935
48 2016 Longford 3701
49 2016 Louth 10058
50 2016 Mayo 8591
51 2016 Meath 10523
52 2016 Monaghan 3831
53 2016 Offaly 5744
54 2016 Roscommon 3847
55 2016 Sligo 4250
56 2016 Tipperary 10867
57 2016 Waterford City and County 8323
58 2016 Westmeath 6666
59 2016 Wexford 11478
60 2016 Wicklow 8603
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