從組成員組內差異

我有跑了幾個回合，像這樣一個實驗的不同治療方法的測量：從組成員組內差異

set.seed(1) 
df <- data.frame(treatment = rep(c('baseline', 'treatment 1', 'treatment 2'), 
           times=5), 
       round = rep(1:5, each=3), 
       measurement1 = rep(1:5, each=3) + rnorm(15), 
       measurement2 = rep(1:5, each=3) + rnorm(15)) 

df 

#  treatment round measurement1 measurement2 
# 1  baseline  1 0.3735462 0.9550664 
# 2 treatment 1  1 1.1836433 0.9838097 
# 3 treatment 2  1 0.1643714 1.9438362 
# 4  baseline  2 3.5952808 2.8212212 
# 5 treatment 1  2 2.3295078 2.5939013 
# 6 treatment 2  2 1.1795316 2.9189774 
# 7  baseline  3 3.4874291 3.7821363 
# 8 treatment 1  3 3.7383247 3.0745650 
# 9 treatment 2  3 3.5757814 1.0106483 
# 10 baseline  4 3.6946116 4.6198257 
# 11 treatment 1  4 5.5117812 3.9438713 
# 12 treatment 2  4 4.3898432 3.8442045 
# 13 baseline  5 4.3787594 3.5292476 
# 14 treatment 1  5 2.7853001 4.5218499 
# 15 treatment 2  5 6.1249309 5.4179416

我想是一個data.frame包含兩次測量的差異每個治療與每輪的基線之間。也就是說，按round分組，我希望從兩個測量中的每一箇中減去baselinetreatment中的相應測量值。

如果存在但我會更喜歡dplyr解決方案，但會接受任何優雅的邊界。

來源

2016-03-03 RoyalTS

非常友善的你接受'任何接近優雅的東西。「但你有什麼嘗試過自己？ – mtoto

'df [，3：4] - df [df $ treatment =='baseline'，] [df $ round，3：4]' – rawr

您可以使用mutate_each爲：

mydf %>% 
    group_by(round) %>% 
    mutate_each(funs(. - .[treatment=="baseline"]), -treatment) %>% 
    filter(treatment!="baseline")

這給：

Source: local data frame [10 x 4] 
Groups: round [5] 

    treatment round measurement1 measurement2 
     (fctr) (int)  (dbl)  (dbl) 
1 treatment1  1  1.558820 -0.6584485 
2 treatment2  1 -0.068677 1.3364462 
3 treatment1  2  1.769312 -0.2732490 
4 treatment2  2  0.801357 -1.4852449 
5 treatment1  3 -1.064394 -1.1513703 
6 treatment2  3  2.433222 -0.7939903 
7 treatment1  4  0.448744 0.1394982 
8 treatment2  4 -1.066922 -1.1410085 
9 treatment1  5  1.182761 -0.8311095 
10 treatment2  5  0.138005 0.2622119

如果你想的差異添加到您的數據框（就像@akrun在他做dplyr/tidyr替代），你也可以這樣做：

mydf %>% 
    group_by(round) %>% 
    mutate(diff1 = measurement1 - measurement1[treatment=="baseline"], 
     diff2 = measurement2 - measurement2[treatment=="baseline"]) %>% 
    filter(treatment!="baseline")

其中給出：

Source: local data table [10 x 6] 

    treatment round measurement1 measurement2  diff1  diff2 
     (fctr) (int)  (dbl)  (dbl)  (dbl)  (dbl) 
1 treatment1  1  2.630392 -0.104258 1.558820 -0.6584485 
2 treatment2  1  1.002895  1.890637 -0.068677 1.3364462 
3 treatment1  2  3.822473  3.147443 1.769312 -0.2732490 
4 treatment2  2  2.854518  1.935447 0.801357 -1.4852449 
5 treatment1  3  1.520553  3.291122 -1.064394 -1.1513703 
6 treatment2  3  5.018169  3.648502 2.433222 -0.7939903 
7 treatment1  4  4.956380  4.544908 0.448744 0.1394982 
8 treatment2  4  3.440714  3.264401 -1.066922 -1.1410085 
9 treatment1  5  4.672056  5.082310 1.182761 -0.8311095 
10 treatment2  5  3.627300  6.175631 0.138005 0.2622119

來源

2016-03-03 19:34:04 Jaap

我們可以使用data.table

library(data.table) 
setDT(df)[order(round,treatment), tail(.SD,2)- head(.SD,1)[rep(1,2)], 
       round , .SDcols=3:4]

或者與data.table另一個選擇是

setDT(df)[, lapply(.SD[, grep("^measurement", names(.SD)), 
    with =FALSE], function(x) x[treatment!="baseline"]- 
     x[treatment=="baseline"]) , round]

或者用dplyr/tidyr

library(dplyr) 
library(tidyr) 
gather(df, var, val, measurement1:measurement2) %>% 
      spread(treatment, val) %>% 
      mutate(diff1 = `treatment 1` - baseline, 
       diff2 = `treatment 2` - baseline)

來源

2016-03-03 19:31:48 akrun

從組成員組內差異

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