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[英]R - Weighted Mean by row for multiple columns based on columns string values
[英]Calculating mean of replicate experiment result values in a column based on multiple columns using R
像這樣的解決方案發布在此門戶網站上,可以通過使用R分組來計算基於另一列的列中的平均值。但是,我無法使用R來計算基於多個列的列中重復實驗結果值的平均值我需要保留Rep列以外的所有列,並將value列替換為基於Rep和所有其他列的平均值。
library(dplyr)
Cmpd1 <- c("abc1","abc1","abc1","abc1","abc1","abc1","abc1","abc1","abc1","abc1","abc1","abc1")
cmpd1_conc <- c("0.0412","0.0412","0.1235","0.1235","0.3704","0.3704","1.1111","1.1111","3.3333","3.3333","10","10")
Cmpd2 <- c("xyz1","xyz1","xyz1","xyz1","xyz1","xyz1","xyz1","xyz1","xyz1","xyz1","xyz1","xyz1")
cmpd2_conc <- c("1","1","1","1","1","1","1","1","1","1","1","1")
value <- c(157120,144160,110480,92600,100800,97600,92240,78800,67920,61520,37640,34240)
Plate <- c("Plate1","Plate1","Plate1","Plate1","Plate1","Plate1","Plate1","Plate1","Plate1","Plate1","Plate1","Plate1")
CL <- c("CL1","CL1","CL1","CL1","CL1","CL1","CL1","CL1","CL1","CL1","CL1","CL1")
Rep <- c(1,2,1,2,1,2,1,2,1,2,1,2)
Result <- data.frame(Cmpd1,cmpd1_conc, Cmpd2, cmpd2_conc, value, Plate, CL, Rep)
MeanResult <- Result %>%
group_by(Cmpd1, cmpd1_conc, Cmpd2,
cmpd2_conc, Plate, CL, Rep) %>%
summarize(MeanValue = mean(value))
我嘗試了此門戶中多個條目中建議的幾種方法,但沒有成功。 我想知道我在想什么。
如果我正確理解您需要的代碼,則:
res2 <- aggregate(value~Cmpd1 + cmpd1_conc + Cmpd2 + cmpd2_conc + Plate + CL, FUN = mean, data = Result)
它產生data.frame
res2
Cmpd1 cmpd1_conc Cmpd2 cmpd2_conc Plate CL value
1 abc1 0.0412 xyz1 1 Plate1 CL1 150640
2 abc1 0.1235 xyz1 1 Plate1 CL1 101540
3 abc1 0.3704 xyz1 1 Plate1 CL1 99200
4 abc1 1.1111 xyz1 1 Plate1 CL1 85520
5 abc1 10 xyz1 1 Plate1 CL1 35940
6 abc1 3.3333 xyz1 1 Plate1 CL1 64720
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