Hi,
i have a matrix like this,
ABC XYZ ...... ..... .....
----- ------
12 20 ...... ..... .....
24 35 ...... ..... .....
30 40 ...... ..... .....
Here, i need to get
Sum of each columns,
Mean of each columns,
median of each columns,
mode of each columns,
Standard deviation of each columns,
variance of each columns,
range of each columns,
count of each columns,
max of each columns,
min of each columns
Can i get output using sappy or tappy functions ? because there have alots
of records.
Could you please help me fast its kind of urgent !
- Thanks
Antony
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Hi, ?dat1<-data.frame(ABC=c(12,24,30),XYZ=c(20,35,40)) ?dat2<-as.matrix(dat1) ?#mean ?dat2mean<-apply(dat2,2,mean) ?dat2mean ? # ? ABC????? XYZ #22.00000 31.66667 dat2sum<-apply(dat2,2,sum) ?dat2median<-apply(dat2,2,median) ?dat2max<-apply(dat2,2,max) dat2min<-apply(dat2,2,min) ?dat2range<-apply(dat2,2,range) dat2count<-apply(dat2,2,length) dat2sd<-apply(dat2,2,sd) dat2var<-apply(dat2,2,var) A.K. ----- Original Message ----- From: Rantony <antony.akkara at ge.com> To: r-help at r-project.org Cc: Sent: Tuesday, July 10, 2012 6:16 AM Subject: [R] Use of Sappy and Tappy for Mathematical Calculation Hi, i have a matrix like this, ABC? ? ? ? XYZ? ? ......? ? .....? ..... -----? ? ? ? ------ 12? ? ? ? ? ? 20? ? ? ......? ? .....? ..... 24? ? ? ? ? ? 35? ? ? ......? ? .....? ..... 30? ? ? ? ? ? 40? ? ? ......? ? .....? ..... Here, i need to get ? ? ? ? ? ? ? ? ? ? ? ? ? Sum of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? Mean of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? median of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? mode of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? Standard deviation? of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? variance of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? range of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? count of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? max of each columns, ? ? ? ? ? ? ? ? ? ? ? ? ? min of each columns Can i get output using sappy or tappy functions ? because there have alots of records. Could you please help me fast its kind of urgent ! - Thanks Antony -- View this message in context: http://r.789695.n4.nabble.com/Use-of-Sappy-and-Tappy-for-Mathematical-Calculation-tp4635969.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Nordlund, Dan (DSHS/RDA)
2012-Jul-10 16:30 UTC
[R] Use of Sappy and Tappy for Mathematical Calculation
> -----Original Message----- > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of Rantony > Sent: Tuesday, July 10, 2012 3:17 AM > To: r-help at r-project.org > Subject: [R] Use of Sappy and Tappy for Mathematical Calculation > > Hi, > > i have a matrix like this, > > ABC XYZ ...... ..... ..... > ----- ------ > 12 20 ...... ..... ..... > 24 35 ...... ..... ..... > 30 40 ...... ..... ..... > > Here, i need to get > Sum of each columns, > Mean of each columns, > median of each columns, > mode of each columns, > Standard deviation of each columns, > variance of each columns, > range of each columns, > count of each columns, > max of each columns, > min of each columns > > Can i get output using sappy or tappy functions ? because there have > alots > of records. > > Could you please help me fast its kind of urgent ! > > - Thanks > Antony >Here is some code to get you started. You can add in the other functions that you want. You will need to figure out what you want to do if there are missing values. There are built-in functions for most everything you want. You get the range from the min and the max, and you need to decide what to do if a variable has 2 or more modes (you will also need to determine how you are going to get the mode). # here is sample matrix mat <- matrix(1:100,nrow=10) colnames(mat) <- LETTERS[1:10] # define summarize function summarize <- function(m) { sums <- apply(m, 2, sum) counts <- apply(m, 2, length) means <- apply(m, 2, mean) return(rbind(sums, counts, means)) } # summarize your matrix summarize(mat) Hope this is helpful, Dan Daniel J. Nordlund Washington State Department of Social and Health Services Planning, Performance, and Accountability Research and Data Analysis Division Olympia, WA 98504-5204