如何平均數據在一組特定的列由兩個因素

我有一組數據26列。我想通過ID和型做主持開始與C所有列，在行平均：如何平均數據在一組特定的列由兩個因素

dput(head(df,4)) 
structure(list(P7 = c(0.266687798848186, 0.243782451327742, 0.256932437720159, 
0.298861598151174), P4 = c(0.198233672667731, 0.0917952258522064, 
0.0911852809187542, 0.0896079263551856), Cz = c(0.236398290801764, 
0.0864552727199747, 0.0745517747485495, 0.141094205953345), Pz = c(0.134887167694073, 
0.0747942533151883, 0.0955856952160322, 0.0351423350784724), 
    P3 = c(0.191077740741983, 0.0671666001582164, 0.15631145309625, 
    0.0784718768200876), P8 = c(0.746777191136397, 0.560405877368518, 
    0.600967378548292, 0.536464030748274), O1 = c(0.178986458890412, 
    0.0630053138978704, 0.0774329882095566, 0.0691776190155007 
    ), O2 = c(0.366020592243935, 0.145930065883011, 0.265438304721104, 
    0.161825120181983), T8 = c(0.166974498667532, 0.193021656050489, 
    0.213308929827665, 0.213890447571556), F8 = c(0.263718560854391, 
    0.131907696650378, 0.111178337073373, 0.231875668810878), 
    C4 = c(0.269114234615308, 0.125279019411176, 0.0913937842967784, 
    0.230858661872378), F4 = c(0.231465667185867, 0.161178083318531, 
    0.216487717434052, 0.171471377435883), FP2 = c(0.180752958268289, 
    0.226079727116054, 0.284591837287001, 0.0666576126271971), 
    Fz = c(0.25772461457411, 0.11393640031093, 0.0915436977625258, 
    0.22075971063348), C3 = c(0.251047419087495, 0.116387810932296, 
    0.0658483596391047, 0.217611910888088), F3 = c(0.265273001053431, 
    0.126774002131214, 0.125733221613179, 0.233189075725804), 
    FP1 = c(0.142119646773935, 0.221130756519951, 0.318851412027302, 
    0.0888396971594962), T7 = c(0.249976523730528, 0.0650165785671064, 
    0.108231023089731, 0.235791252265216), F7 = c(0.244199373827059, 
    0.116417055069381, 0.0661299818628654, 0.237627682382219), 
    id = c(1L, 1L, 1L, 1L), Time = 1:4, Segment = c(1L, 1L, 1L, 
    1L), TimeLower = c(-Inf, -Inf, -Inf, -Inf), TimeUpper = c(180, 
    180, 180, 180), Group = structure(c(2L, 2L, 2L, 2L), .Label = c("C", 
    "N"), class = "factor"), type = structure(c(1L, 1L, 1L, 1L 
    ), .Label = c("alpha", "beta", "gamma", "delta", "theta"), class = c("ordered", 
    "factor"))), .Names = c("P7", "P4", "Cz", "Pz", "P3", "P8", 
"O1", "O2", "T8", "F8", "C4", "F4", "FP2", "Fz", "C3", "F3", 
"FP1", "T7", "F7", "id", "Time", "Segment", "TimeLower", "TimeUpper", 
"Group", "type"), row.names = c(NA, 4L), class = "data.frame")

比如我想在逐行方式的所有數據屬於平均對於類型=α，β，γ，δ和θ的列Cz，C4和C3。並通過列ID做到這一點。

來源

2017-06-05 HCAI

u能顯示預期otuput – akrun

比如在Excel中我會做=平均（C2，K2，O2）在細胞和字段拖到表底部。我認爲我所追求的是將上述單元格中的值完全平均，並對每行進行這樣的操作，例如C3，K3，O3等 – HCAI

我要求顯示輸出的原因是仔細檢查我的答案..也許庫（dplyr）; df％>％group_by（id，type）％>％summarise_at（vars（starts_with （「C」）），平均值）％>％transmute（ave =平均值（Cz，C4，C3））' – akrun

我們可以使用tidyverse

library(dplyr) 
df %>% 
    group_by(id, type) %>% 
    summarise_at(vars(starts_with("C")), mean) %>% 
    transmute(avg = mean(Cz, C4, C3))

來源

2017-06-05 15:11:59 akrun

看起來不錯！想象一下，我想通過「ID」來平均每個「類型」的平均值。但是每個id的向量長度是不同的......你覺得你的函數如何處理這個問題？ – HCAI

@HCAI對不起，我不清楚。根據示例顯示，預期的輸出是什麼 – akrun

讓我們看看Cz，C4和C3的新形成的平均值。每個'id'現在都有一段關於這個新向量的值。我想平均再次逐行去掉變量'id'。問題是每個id都有一個不同長度的數據集（因爲每個id的實驗都是不同的長度）。這是一種奇怪的思維方式嗎？ – HCAI

如何平均數據在一組特定的列由兩個因素

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