Question

这是我一直在尝试使用purrr :: pmap解决的逐行迭代问题，但是没有运气。

我从原始分数表开始：

rawscore_table <- data.frame(rawscore = 10:14, SS1 = NA, SS2 = NA)

  rawscore SS1 SS2
1       10  NA  NA
2       11  NA  NA
3       12  NA  NA
4       13  NA  NA
5       14  NA  NA

有两个空列，SS1和SS2，我想通过将函数应用于每行来获取其值：

SS1 = rawscore + x + y

SS2 = rawscore + x + y

在查找表中找到x和y的值：

lookup_table <- data.frame(SS = c('SS1', 'SS2'), x = 1:2, y = 3:4)

   SS x y
1 SS1 1 3
2 SS2 2 4

我正在寻找的解决方案将通过在{{1}的rawscore_table$SS1行中找到x和y的值来计算列SS1的值}，它将通过在lookup_table的{{1}}行中找到rawscore_table$SS2和x的值来计算列y的值。

因此，代码必须引用SS2中列的名称，以便从lookup_table的相应行中提取值

所需的输出如下：

rawscore_table

在此先感谢您的帮助！

Answer 1

一种选择是获取“ lookup_table”的数字列的rowSums，将“ +”与“ rawscore_table”的第一列相加，将输出分配回除第一列

rawscore_table[-1] <- lapply(as.list(rowSums(lookup_table[-1])), `+`, 
           rawscore_table[,1])

或复制rowSums输出并添加第一列

rawscore_table[as.character(lookup_table$SS)] <- rawscore_table$rawscore + 
            rep(rowSums(lookup_table[-1]), each = nrow(rawscore_table))

或使用tidyverse

library(tidyverse)
lookup_table %>% 
    transmute(SS, xy = x + y) %>%
    deframe %>%
    as.list %>%
    imap_dfc(~ 
             rawscore_table  %>%
                 transmute(!! .y :=  .x + rawscore)) %>% 
    bind_cols(rawscore_table[1], .)
#   rawscore SS1 SS2
#1       10  14  16
#2       11  15  17
#3       12  16  18
#4       13  17  19
#5       14  18  20

Answer 2

另一种选择是加入lookup和rawscore_table %>% gather(SS, val, -rawscore) %>% left_join(lookup_table, by = 'SS') %>% mutate(val = rawscore + x + y, x = NULL, y = NULL) %>% spread(SS, val) # rawscore SS1 SS2 #1 10 14 16 #2 11 15 17 #3 12 16 18 #4 13 17 19 #5 14 18 20：

CREATE FUNCTION LocalCustom.Pretty_XML(@uglyXML VARCHAR(MAX))
RETURNS VARCHAR(MAX) 
AS
BEGIN
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                 SET @uglyXML = SUBSTRING(@uglyXML,LEN(@nextElement)+2,@len);
              END;
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END
GO

R：将功能逐行应用于表，将查找表中的值作为参数传递

2 个答案: