为什么在ifelse中使用mutate和sum的方法会产生与在R中使用mutate和sum不同的结果？

i5desfxk  于 2023-04-09  发布在  其他
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我在R中写了三个不同的方法来使变量S1_Total_Time成为使用dplyr mutate的多个列的总和。当我运行它们时，我得到变量S1_Total_Time的不同输出。在我的 Dataframe 中，每行都是一个人，所以我使用rowwise来使总和逐行进行。
在方法A中，我按行获得所有列值的总和，忽略NA。每行都以一个值结束，但有一个问题。一行是所有NA的人，他们的总和TotalTime为0，这是不准确的。他们的S1_TotalTime应该是NA，而不是0。为了解决这个问题，我尝试了方法B。
在方法B中，我也得到了所有列值的行和。在这里，我也要求它首先使用ifelse进行确定，因为我希望它只计算时间值，如果这两件事都为真：
1.错误的时间变量的伴随变量不是NA（这有助于我排除点击“下一步”按钮的试验，给它一个时间，但没有实际数据）
1.我感兴趣并且想要返回的定时变量也不是NA如果其中任何一个是NA，那么我要求它返回NA，因为该变量将被包含在sum中。在方法B的结尾，我要求它排除NA，以便它应该只对不是NA的ifelses的乘积求和。这不起作用，它返回S1_TotalTime作为任何具有 any NA的行的NA。
如果我改变方法B，使其在1或2为假时返回0或另一个数字，而不是NA（方法C），它的工作原理几乎与方法A相同，但有一些神秘的偏差。

  1. 37/41行与方法A相差正好+1。
  2. 4/41行偏离大于1，其中它们的方法A比它们的方法B低-14到-127。
    我的问题：
    1.为什么方法A和C产生不同的结果？
    1.我是否错过了一些东西，试图确保两个变量在求和之前都有数据，如果它们没有，排除它们，但仍然从我的ifelse没有使NA的变量中得到一个总和？方法A只是一个问题，因为只有少数几行所有定时变量都是NA，我不能让这些变量的总和为0。
    sessionInfo（）
    R版本4.2.0（2022-04-22）
    平台：x86_64-apple-darwin 17.0（64位）
    运行于：macOS Monterey 12.4
    基质产品：默认值
    LAPACK：/Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
    区域设置：
    [1]en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8#
    附加的基本 Package ：
    [1]stats grdevices utils datasets methods base
    其他附加包：
    [1]nlme_3.1-157 rstatix_0.7.2 ggpubr_0.6.0 reshape2_1.4.4 data.table_1.14.2 lubridate_1.9.2
    [7]forcats_1.0.0 stringr_1.5.0 purrr_1.0.1 readr_2.1.4 tidyr_1.3.0 tibble_3.1.8
    [13]tidyverse_2.0.0 Hmisc_4.7-0公式_1.2 -4生存_3.3 -1晶格_0.20 -45 dplyr_1.1.0
    [19]ggplot2_3.4.1 haven_2.5.1
    样本数据：
Data_for_analysis \<- structure(list(S1_1.1_timing_Page_Submit = c(38, 12, NA, 52),
S1_1.2a_timing_Page_Submit = c(19, 14, NA, 68), S1_1.2b_timing_Page_Submit = c(48,
65, NA, 190), S1_1.3_timing_Page_Submit = c(66, 9, NA, 20
), S1_2.1_timing_Page_Submit = c(307, 153, NA, 90.38), S1_2.2_timing_Page_Submit = c(NA,
28, NA, 3.752), S1_2.3_timing_Page_Submit = c(NA, NA, NA,
58\.996), S1_2.4a_timing_Page_Submit = c(NA, NA, NA, 1.203
), S1_2.4b_timing_Page_Submit = c(NA, NA, NA, 61.671), S1_2.5_timing_Page_Submit = c(NA,
NA, NA, 0.249), S1_2.6_timing_Page_Submit = c(NA, NA, NA,
0\.201), S1_3.1_timing_Page_Submit = c(NA, NA, NA, 0.244),
S1_3.2_timing_Page_Submit = c(NA, NA, NA, 0.224), S1_3.3_timing_Page_Submit = c(NA,
NA, NA, 0.158), S1_3.4_timing_Page_Submit = c(NA, NA, NA,
0\.2), S1_3.5_timing_Page_Submit = c(NA, NA, NA, 0.159), S1_3.6_timing_Page_Submit = c(NA,
NA, NA, 0.695), S1_3.7_timing_Page_Submit = c(NA, NA, NA,
0\.263), S1_3.8_timing_Page_Submit = c(NA, NA, NA, 0.267),
S1_3.9_timing_Page_Submit = c(NA, NA, NA, 0.136), S1_3.10_timing_Page_Submit = c(NA,
NA, NA, 0.216), S1_3.11_timing_Page_Submit = c(NA, NA, NA,
0\.249), S1_3.12_timing_Page_Submit = c(NA, NA, NA, 3.127),
ErrorNum_S1_1.1 = c(1, 0, 0, 1), ErrorNum_S1_1.2a = c(0,
0, 0, 1), ErrorNum_S1_1.2b = c(0, 1, 0, 2), ErrorNum_S1_1.3 = c(0,
0, 0, 0), ErrorNum_S1_2.1 = c(13, 4, 1, 1), ErrorNum_S1_2.2 = c(NA,
0, 0, 5), ErrorNum_S1_2.3 = c(NA, 7, 0, NA), ErrorNum_S1_2.4a = c(NA,
NA, 0, NA), ErrorNum_S1_2.4b = c(NA, NA, 3, NA), ErrorNum_S1_2.5 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_2.6 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.1 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.2 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.3 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.4 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.5 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.6 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.7 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.8 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.9 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.10 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.11 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_), ErrorNum_S1_3.12 = c(NA_real\_,
NA_real\_, NA_real\_, NA_real\_)), class = c("rowwise_df", "tbl_df",
"tbl", "data.frame"), row.names = c(NA, -4L), groups = structure(list(
.rows = structure(list(1L, 2L, 3L, 4L), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = c(NA, -4L), class = c("tbl_df",
"tbl", "data.frame")))

library(haven)
library(ggplot2)
library(dplyr)
library(Hmisc)
library(tidyverse)

#Method A
Data_for_analysis_A \<- Data_for_analysis %\>%
rowwise() %\>%
mutate(S1_TotalTime = sum(S1_1.1_timing_Page_Submit,
S1_1.2a_timing_Page_Submit,
S1_1.2b_timing_Page_Submit,
S1_1.3_timing_Page_Submit,
S1_2.1_timing_Page_Submit,
S1_2.2_timing_Page_Submit,
S1_2.3_timing_Page_Submit,
S1_2.4a_timing_Page_Submit,
S1_2.4b_timing_Page_Submit,
S1_2.5_timing_Page_Submit,
S1_2.6_timing_Page_Submit,
S1_3.1_timing_Page_Submit,
S1_3.2_timing_Page_Submit,
S1_3.3_timing_Page_Submit,
S1_3.4_timing_Page_Submit,
S1_3.5_timing_Page_Submit,
S1_3.6_timing_Page_Submit,
S1_3.7_timing_Page_Submit,
S1_3.8_timing_Page_Submit,
S1_3.9_timing_Page_Submit,
S1_3.10_timing_Page_Submit,
S1_3.11_timing_Page_Submit,
S1_3.12_timing_Page_Submit, na.rm=TRUE))

Data_for_analysis_B \<- Data_for_analysis %\>%
rowwise() %\>%
mutate(S1_TotalTime = sum(
ifelse(!is.na(ErrorNum_S1_1.1)  && !is.na(S1_1.1_timing_Page_Submit) , S1_1.1_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_1.2a) && !is.na(S1_1.2a_timing_Page_Submit), S1_1.2a_timing_Page_Submit, NA),
ifelse(!is.na(ErrorNum_S1_1.2b) && !is.na(S1_1.2b_timing_Page_Submit), S1_1.2b_timing_Page_Submit, NA),
ifelse(!is.na(ErrorNum_S1_1.3)  && !is.na(S1_1.3_timing_Page_Submit) , S1_1.3_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_2.1)  && !is.na(S1_2.1_timing_Page_Submit) , S1_2.1_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_2.2)  && !is.na(S1_2.2_timing_Page_Submit) , S1_2.2_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_2.3)  && !is.na(S1_2.3_timing_Page_Submit) , S1_2.3_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_2.4a) && !is.na(S1_2.4a_timing_Page_Submit), S1_2.4a_timing_Page_Submit, NA),
ifelse(!is.na(ErrorNum_S1_2.4b) && !is.na(S1_2.4b_timing_Page_Submit), S1_2.4b_timing_Page_Submit, NA),
ifelse(!is.na(ErrorNum_S1_2.5)  && !is.na(S1_2.5_timing_Page_Submit) , S1_2.5_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_2.6)  && !is.na(S1_2.6_timing_Page_Submit) , S1_2.6_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.1)  && !is.na(S1_3.1_timing_Page_Submit) , S1_3.1_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.2)  && !is.na(S1_3.2_timing_Page_Submit) , S1_3.2_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.3)  && !is.na(S1_3.3_timing_Page_Submit) , S1_3.3_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.4)  && !is.na(S1_3.4_timing_Page_Submit) , S1_3.4_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.5)  && !is.na(S1_3.5_timing_Page_Submit) , S1_3.5_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.6)  && !is.na(S1_3.6_timing_Page_Submit) , S1_3.6_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.7)  && !is.na(S1_3.7_timing_Page_Submit) , S1_3.7_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.8)  && !is.na(S1_3.8_timing_Page_Submit) , S1_3.8_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.9)  && !is.na(S1_3.9_timing_Page_Submit) , S1_3.9_timing_Page_Submit,  NA),
ifelse(!is.na(ErrorNum_S1_3.10) && !is.na(S1_3.10_timing_Page_Submit), S1_3.10_timing_Page_Submit, NA),
ifelse(!is.na(ErrorNum_S1_3.11) && !is.na(S1_3.11_timing_Page_Submit), S1_3.11_timing_Page_Submit, NA),
ifelse(!is.na(ErrorNum_S1_3.12) && !is.na(S1_3.12_timing_Page_Submit), S1_3.12_timing_Page_Submit, NA), rm.na=TRUE))

#Method C (same as B but using 0 instead of NA)
Data_for_analysis_C \<- Data_for_analysis %\>%
rowwise() %\>%
mutate(S1_TotalTime = sum(
ifelse(!is.na(ErrorNum_S1_1.1)  && !is.na(S1_1.1_timing_Page_Submit) , S1_1.1_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_1.2a) && !is.na(S1_1.2a_timing_Page_Submit), S1_1.2a_timing_Page_Submit, 0),
ifelse(!is.na(ErrorNum_S1_1.2b) && !is.na(S1_1.2b_timing_Page_Submit), S1_1.2b_timing_Page_Submit, 0),
ifelse(!is.na(ErrorNum_S1_1.3)  && !is.na(S1_1.3_timing_Page_Submit) , S1_1.3_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_2.1)  && !is.na(S1_2.1_timing_Page_Submit) , S1_2.1_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_2.2)  && !is.na(S1_2.2_timing_Page_Submit) , S1_2.2_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_2.3)  && !is.na(S1_2.3_timing_Page_Submit) , S1_2.3_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_2.4a) && !is.na(S1_2.4a_timing_Page_Submit), S1_2.4a_timing_Page_Submit, 0),
ifelse(!is.na(ErrorNum_S1_2.4b) && !is.na(S1_2.4b_timing_Page_Submit), S1_2.4b_timing_Page_Submit, 0),
ifelse(!is.na(ErrorNum_S1_2.5)  && !is.na(S1_2.5_timing_Page_Submit) , S1_2.5_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_2.6)  && !is.na(S1_2.6_timing_Page_Submit) , S1_2.6_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.1)  && !is.na(S1_3.1_timing_Page_Submit) , S1_3.1_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.2)  && !is.na(S1_3.2_timing_Page_Submit) , S1_3.2_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.3)  && !is.na(S1_3.3_timing_Page_Submit) , S1_3.3_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.4)  && !is.na(S1_3.4_timing_Page_Submit) , S1_3.4_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.5)  && !is.na(S1_3.5_timing_Page_Submit) , S1_3.5_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.6)  && !is.na(S1_3.6_timing_Page_Submit) , S1_3.6_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.7)  && !is.na(S1_3.7_timing_Page_Submit) , S1_3.7_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.8)  && !is.na(S1_3.8_timing_Page_Submit) , S1_3.8_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.9)  && !is.na(S1_3.9_timing_Page_Submit) , S1_3.9_timing_Page_Submit,  0),
ifelse(!is.na(ErrorNum_S1_3.10) && !is.na(S1_3.10_timing_Page_Submit), S1_3.10_timing_Page_Submit, 0),
ifelse(!is.na(ErrorNum_S1_3.11) && !is.na(S1_3.11_timing_Page_Submit), S1_3.11_timing_Page_Submit, 0),
ifelse(!is.na(ErrorNum_S1_3.12) && !is.na(S1_3.12_timing_Page_Submit), S1_3.12_timing_Page_Submit, 0), rm.na=TRUE))
r

1条答案

按热度按时间
pu3pd22g

pu3pd22g1#

或许是这样的？

Data_for_analysis %>%
  rowwise() %>%
  mutate(sum = if_else(
    sum(is.na(c_across(starts_with("S1")))) == 23, NA,
    sum(c_across(starts_with("S1")), na.rm = TRUE)))
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