Re: [問題] R 資料輸入(由EXCEL->R)

看板Statistics作者時間13年前 (2012/09/11 16:08), 編輯推噓0(005)
留言5則, 1人參與, 最新討論串2/2 (看更多)
後來改用別的方法去想,所以就乾脆再開一篇,舊的如果礙事麻煩請版主砍了他=口= ###讀黨 mydata <- read.csv(file.choose(), header = T) mydata$date <- as.POSIXct(strptime(mydata$date, format = "%d/%m/%Y %H:%M","GMT")) head(mydata) ###全部一排 mydata2=melt(mydata, measure.vars = c("X1","X2","X3","X4","X5","X6","X7","X8","X9","X10","X11","X12","X13","X14","X15","X16","X17","X18", "X19" ,"X20", "X21","X22","X23","X24")) head(mydata2) ####照汙染物順序,日期去排 mydata2=mydata2[order(mydata2$測項,mydata2$日期),] head(mydata2,48) ###建立框架+寫入,單項測值總數:8760 newdata=data.frame(Number=30,station="大里 ",MeasureTime=seq(as.POSIXct("2011-01-01"),by ="hours",length=8760), AMB_TEMP=mydata2[1:8760,5], CH4=" ", CO=mydata2[8761:17520,5], NMHC=" ", NO=mydata2[17521:26280,5], NO2=mydata2[26281:35040,5], NOx=mydata2[35041:43800,5], O3=mydata2[43801:52560,5], PM10=mydata2[52561:61320,5], PM2.5=mydata2[61321:70080,5], RAINFALL=mydata2[70081:78840,5], RH=mydata2[78841:87600,5], SHELT_TEMP=" ", SO2=mydata2[87601:96360,5], THC=" ", UVB=" ", WD_HR=mydata2[96361:105120,5], WIND_DIREC=mydata2[105121:113880,5], WIND_SPEED=mydata2[113881:122640,5], WS_HR=mydata2[122641:131400,5]) head(newdata) ##寫出 write.table(newdata, file="weather.finish.csv", sep=","header=TRUE) ------------- 將所有資料通通排一排以後,按照順序把特定列數的資料擺進去 現在遇到的問題是,當資料有不同項(如THC,UVB不再是空白值),排序不同 這東西就爆炸了XD" 所以想利用指定行列的方式去排,即選擇其測項為指定字串的列,及特定的行 原本寫的是 THC=mydata2[3==THC,5]結果被說不是正確的下標 試了其他的寫法也不行 整理一下.... 需求:把資料結合到框架中指定行(Cloume) 列的選定:該列(row)其第三行(cloume)為指定的字串(如THC,CO等)都要選擇 行的選定:直接指定mydata2第五行的數據 目標:將mydata2中的數據利用依照其測項為準,排入newdata的指定位置 -- ※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 140.120.29.185 ※ 編輯: zmack0905 來自: 140.120.29.185 (09/11 16:53)

09/11 17:57, , 1F
看不懂你在幹嗎
09/11 17:57, 1F

09/11 17:58, , 2F
不過流程如下 1.excel檔案存成 tab 隔開的 txt file
09/11 17:58, 2F

09/11 17:58, , 3F
2. read.delim("xxx.txt",sep="\t",header=TRUE)
09/11 17:58, 3F

09/11 17:59, , 4F
3. 要切掉 column , 移動資料 , 矩陣轉置都屬於資料處理
09/11 17:59, 4F

09/11 17:59, , 5F
不要跟前面的東西混再一起
09/11 17:59, 5F
文章代碼(AID): #1GJl5ZMy (Statistics)
文章代碼(AID): #1GJl5ZMy (Statistics)