我想根据以下要素来计算特定国家/地区的权重：40％的人口，40％的GDP，10％的过往申请数量和10％的失业率。
我的数据如下：
Country `Population (peop~ `Population (%):` `Total GDP (millio~ `Total GDP (%)` `Number of past appli~ `Number of past app~ `Unemployment rate (% ~
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Austria 8822267 0.0168 113. 0.0324 196875 0.0415 4.9
2 Belgium 11398589 0.0216 108. 0.0311 126520 0.0266 6
3 Bulgaria 7050034 0.0134 103. 0.0296 57120 0.0120 5.2
4 Croatia 4105493 0.00780 100. 0.0289 4660 0.000981 8.4
5 Cyprus 864236 0.00164 103. 0.0297 19315 0.00407 8.4
6 Czech Re~ 10610055 0.0202 115 0.0330 7270 0.00153 2.2
答案 0 :(得分：1)
假设您要为变量分配不同的权重并计算new_var，则可以执行以下操作：
library(dplyr)
my_df <- read.csv("df.csv", header = T)
my_df %>%
mutate(new_var = ((.4*pop_per)+(.4*gdp_perc) + (.1*no_past_perc) + (.1*unRate)))
# -------------------------------------------------------------------------
# Country population pop_per TotalGDP gdp_perc NoOfPastApplications no_past_perc unRate new_var
# 1 Austria 8822267 0.01680 113 0.0324 196875 0.041500 4.9 0.5138300
# 2 Belgium 11398589 0.02160 108 0.0311 126520 0.026600 6.0 0.6237400
# 3 Bulgaria 7050034 0.01340 103 0.0296 57120 0.012000 5.2 0.5384000
# 4 Croatia 4105493 0.00780 100 0.0289 4660 0.000981 8.4 0.8547781
# 5 Cyprus 864236 0.00164 103 0.0297 19315 0.004070 8.4 0.8529430
# 6 Czech Re 10610055 0.02020 115 0.0330 7270 0.001530 2.2 0.2414330