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作者 gsuper 在 PTT [ Statistics ] 看板的留言(推文), 共1226則
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收起看板(734)
3F→:x <- urDATA10/19 15:37
4F→:x[,2] <- as.numeric(x[,2])10/19 15:37
5F→:result_MATRIX <- tapply(t$數值 , t$類別 , sum)10/19 15:38
6F→:上面 t 應該是 x , 修正一下10/19 15:39
7F→:為了避免 bug , 建議用以下寫法10/19 15:44
8F→:x <- as.matrix(urDATA)10/19 15:44
9F→:tapply(as.numeric(x[,"數值"]),x[,"類別"],sum)10/19 15:45
2F→:可是邏輯回歸能給 2*8 的矩陣兩個獨立的 OR 值嗎?10/16 00:45
1F→:答案是 1% 嗎?10/13 00:50
2F→:少寫一個0 , 是 10% 嗎?10/13 00:50
4F→:你可以看看這篇10/12 13:06
5F→:http://www.ncbi.nlm.nih.gov/pubmed/2005384110/12 13:06
6F→:我是剛起步 所以實在是吸收不了 或許你可以試試看他的流程10/12 13:06
11F→:概念都還OK , 但是離實做還有一大段距離10/14 13:30
3F→:手動生產一個 mydata.2 , 把含有 NA 的 rows 消除不行嗎?10/10 18:55
10F→:不懂你的邏輯ㄟ... 所以你的意思是 , 消除含有 NA 的 row10/10 22:50
11F→:是可行的辦法 , 但是你不會 , 是這樣嗎?10/10 22:51
12F→:mydata[!rowSums(is.na(mydata)),] 試試看這行(for winXP)10/10 23:03
13F→:3000*12 實在是一個超級小的矩陣~~~ (煙)10/10 23:05
17F→:na.omit() 還滿好用的 , good10/11 12:50
26F→:真的不能直接乘嗎? 因為我是有看到別人這樣做10/10 18:51
27F→:沒關係我在去查查看流病的東西好了 3Q10/10 18:52
9F→:p-value = 0.2349 , 你覺得是拒絕還是接受?09/26 23:29
2F→:如果金錢與收穫產量成正比 , 是否能算 Odds_ratio?09/21 13:24
3F→:(7*17)/(15*16)09/21 13:24
3F→:sep="" 很怪 , 試試看sep="\t" 或 "\n" 或 "," 或 " "09/05 23:27
4F→:read.table 換成 read.delim() , 然後先用 excel 打開檔案09/05 23:27
5F→:檢查看看有沒有空白行或是註解行 , 用 skip=略過行數來調整09/05 23:28
6F→:如果你是在 linux 下 , 輸入 system("ls") , 看看資料夾09/05 23:31
7F→:裡面有沒有你要讀的檔案09/05 23:31
3F→:我覺得很詭異是 , 你的 r1~r19 應該都是八個數字的向量09/05 20:57
4F→:但你的 x 矩陣卻有 10 個數字 per row09/05 20:58
7F→:我想 "強制變更過程中產生了 NA" 有兩個可能性09/05 23:36
8F→:1. 你的 y1 向量或 yc 向量比 x 矩陣來的長或短09/05 23:37
9F→:你可以試試看 a <- 1:5 ; a[6] ; 你會發現產生了 NA09/05 23:37
10F→:2. 你的整個 x 矩陣都被視為字串 , 這個原因是因為 V9 的 %09/05 23:38
11F→:可手動把35%換成0.35這種格式,然後用as.data.frame()來轉x09/05 23:39
12F→:還有一種可能 , 就是這個 function 吃的資料需要 t(x)09/05 23:40