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ÈçºÎ¶¨ÒåÒ»¸öº¯Êý¿ÉÒÔ²úÉúÉ¢µãͼ£¿ make a function to generate a scatter plot of any two user-supplied arbitrary rows for the dataset. The three inputs will be the matrix, and the two columns to plot |
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ÏëÎÊÏ compositionÊÇʲôÒâ˼£¬²»Ì«Àí½âÎÊÌâÒªÈÃÎÒ¸Éʲô£¿ convert the variables in the matrix from function 1 to a composition in two different ways. The simplest way to do this is to divide each row value by its column sum. You may choose any two of the below methods. function1: randomdataset <- function(s, nr, m1, m2){ size <- s r <- matrix(data=NA, nrow=nr, ncol=s) for(i in 1:10){ r[,i] <- rnorm(nr, mean=m1, sd=5) } for(i in 1:5){ r[1:size,i] <- rnorm(size, mean=m2, sd=5) } return(r) } |
3Â¥2016-10-17 22:49:24
FMStation
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2Â¥2016-10-17 22:42:09
FMStation
ÖÁ×ðľ³æ (ÖªÃû×÷¼Ò)
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zxwinner: ½ð±Ò+5 2016-12-08 07:32:04
zxwinner: ½ð±Ò+5 2016-12-08 07:32:04
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http://www.dictionary.com/browse/composition the act of combining parts or elements to form a whole. https://tw.dictionary.search.yah ... on&fr2=dict ºÏ³ÉÎ·ÂÔìÎï[C] convert the variables in the matrix: ·½·¨1. divide each row value by its column sum. ·½·¨2. for(i in 1:10){ r[,i] <- rnorm(nr, mean=m1, sd=5) } ·½·¨3. for(i in 1:5){ r[1:size,i] <- rnorm(size, mean=m2, sd=5) } |
4Â¥2016-10-18 21:56:32













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