R中是否有一个特定的函数来合并2个向量
Is there a specific function in R to merge 2 vectors
我有两个向量,一个包含变量列表,一个包含日期,例如
Variables_Pays <- c("PIB", "ConsommationPrivee","ConsommationPubliques",
"FBCF","ProductionIndustrielle","Inflation","InflationSousJacente",
"PrixProductionIndustrielle","CoutHoraireTravail")
Annee_Pays <- c("2000","2001")
我想将它们合并为一个向量,每个变量都按我的日期索引,即我想要的输出是
> Colonnes_Pays_Principaux
[1] "PIB_2020" "PIB_2021" "ConsommationPrivee_2020"
[4] "ConsommationPrivee_2021" "ConsommationPubliques_2020" "ConsommationPubliques_2021"
[7] "FBCF_2020" "FBCF_2021" "ProductionIndustrielle_2020"
[10] "ProductionIndustrielle_2021" "Inflation_2020" "Inflation_2021"
[13] "InflationSousJacente_2020" "InflationSousJacente_2021" "PrixProductionIndustrielle_2020"
[16] "PrixProductionIndustrielle_2021" "CoutHoraireTravail_2020" "CoutHoraireTravail_2021"
是否有比双 for
循环更简单/更易读的方法,正如我在下面尝试并成功的那样?
Colonnes_Pays_Principaux <- vector()
for (Variable in (1:length(Variables_Pays))){
for (Annee in (1:length(Annee_Pays))){
Colonnes_Pays_Principaux=
append(Colonnes_Pays_Principaux,
paste(Variables_Pays[Variable],Annee_Pays[Annee],sep="_")
)
}
}
expand.grid
将创建一个包含两个向量的所有组合的数据框。
with(
expand.grid(Variables_Pays, Annee_Pays),
paste0(Var1, "_", Var2)
)
#> [1] "PIB_2000" "ConsommationPrivee_2000"
#> [3] "ConsommationPubliques_2000" "FBCF_2000"
#> [5] "ProductionIndustrielle_2000" "Inflation_2000"
#> [7] "InflationSousJacente_2000" "PrixProductionIndustrielle_2000"
#> [9] "CoutHoraireTravail_2000" "PIB_2001"
#> [11] "ConsommationPrivee_2001" "ConsommationPubliques_2001"
#> [13] "FBCF_2001" "ProductionIndustrielle_2001"
#> [15] "Inflation_2001" "InflationSousJacente_2001"
#> [17] "PrixProductionIndustrielle_2001" "CoutHoraireTravail_2001"
在基数 R 中:
Variables_Pays <- c("PIB", "ConsommationPrivee","ConsommationPubliques",
"FBCF","ProductionIndustrielle","Inflation","InflationSousJacente",
"PrixProductionIndustrielle","CoutHoraireTravail")
Annee_Pays <- c("2000","2001")
cbind(paste(Variables_Pays, Annee_Pays,sep="_"),paste(Variables_Pays, rev(Annee_Pays),sep="_")
我们可以使用 outer
:
c(t(outer(Variables_Pays, Annee_Pays, paste, sep = '_')))
# [1] "PIB_2000" "PIB_2001"
# [3] "ConsommationPrivee_2000" "ConsommationPrivee_2001"
# [5] "ConsommationPubliques_2000" "ConsommationPubliques_2001"
# [7] "FBCF_2000" "FBCF_2001"
# [9] "ProductionIndustrielle_2000" "ProductionIndustrielle_2001"
#[11] "Inflation_2000" "Inflation_2001"
#[13] "InflationSousJacente_2000" "InflationSousJacente_2001"
#[15] "PrixProductionIndustrielle_2000" "PrixProductionIndustrielle_2001"
#[17] "CoutHoraireTravail_2000" "CoutHoraireTravail_2001"
没有必要超越这里的基础知识!使用 paste
粘贴字符串,使用 rep
重复 Annee_Pays
och Variables_Pays
以获得所有组合:
Variables_Pays <- c("PIB", "ConsommationPrivee","ConsommationPubliques",
"FBCF","ProductionIndustrielle","Inflation","InflationSousJacente",
"PrixProductionIndustrielle","CoutHoraireTravail")
Annee_Pays <- c("2000","2001")
# To get this is the same order as in your example:
paste(rep(Variables_Pays, rep(2, length(Variables_Pays))), Annee_Pays, sep = "_")
# Alternative order:
paste(Variables_Pays, rep(Annee_Pays, rep(length(Variables_Pays), 2)), sep = "_")
# Or, if order doesn't matter too much:
paste(Variables_Pays, rep(Annee_Pays, length(Variables_Pays)), sep = "_")
我有两个向量,一个包含变量列表,一个包含日期,例如
Variables_Pays <- c("PIB", "ConsommationPrivee","ConsommationPubliques",
"FBCF","ProductionIndustrielle","Inflation","InflationSousJacente",
"PrixProductionIndustrielle","CoutHoraireTravail")
Annee_Pays <- c("2000","2001")
我想将它们合并为一个向量,每个变量都按我的日期索引,即我想要的输出是
> Colonnes_Pays_Principaux
[1] "PIB_2020" "PIB_2021" "ConsommationPrivee_2020"
[4] "ConsommationPrivee_2021" "ConsommationPubliques_2020" "ConsommationPubliques_2021"
[7] "FBCF_2020" "FBCF_2021" "ProductionIndustrielle_2020"
[10] "ProductionIndustrielle_2021" "Inflation_2020" "Inflation_2021"
[13] "InflationSousJacente_2020" "InflationSousJacente_2021" "PrixProductionIndustrielle_2020"
[16] "PrixProductionIndustrielle_2021" "CoutHoraireTravail_2020" "CoutHoraireTravail_2021"
是否有比双 for
循环更简单/更易读的方法,正如我在下面尝试并成功的那样?
Colonnes_Pays_Principaux <- vector()
for (Variable in (1:length(Variables_Pays))){
for (Annee in (1:length(Annee_Pays))){
Colonnes_Pays_Principaux=
append(Colonnes_Pays_Principaux,
paste(Variables_Pays[Variable],Annee_Pays[Annee],sep="_")
)
}
}
expand.grid
将创建一个包含两个向量的所有组合的数据框。
with(
expand.grid(Variables_Pays, Annee_Pays),
paste0(Var1, "_", Var2)
)
#> [1] "PIB_2000" "ConsommationPrivee_2000"
#> [3] "ConsommationPubliques_2000" "FBCF_2000"
#> [5] "ProductionIndustrielle_2000" "Inflation_2000"
#> [7] "InflationSousJacente_2000" "PrixProductionIndustrielle_2000"
#> [9] "CoutHoraireTravail_2000" "PIB_2001"
#> [11] "ConsommationPrivee_2001" "ConsommationPubliques_2001"
#> [13] "FBCF_2001" "ProductionIndustrielle_2001"
#> [15] "Inflation_2001" "InflationSousJacente_2001"
#> [17] "PrixProductionIndustrielle_2001" "CoutHoraireTravail_2001"
在基数 R 中:
Variables_Pays <- c("PIB", "ConsommationPrivee","ConsommationPubliques",
"FBCF","ProductionIndustrielle","Inflation","InflationSousJacente",
"PrixProductionIndustrielle","CoutHoraireTravail")
Annee_Pays <- c("2000","2001")
cbind(paste(Variables_Pays, Annee_Pays,sep="_"),paste(Variables_Pays, rev(Annee_Pays),sep="_")
我们可以使用 outer
:
c(t(outer(Variables_Pays, Annee_Pays, paste, sep = '_')))
# [1] "PIB_2000" "PIB_2001"
# [3] "ConsommationPrivee_2000" "ConsommationPrivee_2001"
# [5] "ConsommationPubliques_2000" "ConsommationPubliques_2001"
# [7] "FBCF_2000" "FBCF_2001"
# [9] "ProductionIndustrielle_2000" "ProductionIndustrielle_2001"
#[11] "Inflation_2000" "Inflation_2001"
#[13] "InflationSousJacente_2000" "InflationSousJacente_2001"
#[15] "PrixProductionIndustrielle_2000" "PrixProductionIndustrielle_2001"
#[17] "CoutHoraireTravail_2000" "CoutHoraireTravail_2001"
没有必要超越这里的基础知识!使用 paste
粘贴字符串,使用 rep
重复 Annee_Pays
och Variables_Pays
以获得所有组合:
Variables_Pays <- c("PIB", "ConsommationPrivee","ConsommationPubliques",
"FBCF","ProductionIndustrielle","Inflation","InflationSousJacente",
"PrixProductionIndustrielle","CoutHoraireTravail")
Annee_Pays <- c("2000","2001")
# To get this is the same order as in your example:
paste(rep(Variables_Pays, rep(2, length(Variables_Pays))), Annee_Pays, sep = "_")
# Alternative order:
paste(Variables_Pays, rep(Annee_Pays, rep(length(Variables_Pays), 2)), sep = "_")
# Or, if order doesn't matter too much:
paste(Variables_Pays, rep(Annee_Pays, length(Variables_Pays)), sep = "_")