[R] Median on second group of CSV file produce Na

PIKAL Petr petr.pikal at precheza.cz
Tue Sep 1 10:03:29 CEST 2015 

Hi

Your code is highly complicated and difficult to understand without example data. Perhaps you want row medians for two groups x and y which are located in different columns of original data.

MD1 <- apply(AT1[,c(2,3,4,5,6,7,8) ], 1, median)

shall give you desired result without need of cycle and almost all other stuff.

If there is NA in result, some of the value can be NA so after median you have to put na.rm=TRUE.

consult
?apply
?summary
?str

for explanation

Cheers
Petr

> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of shawin
> Sent: Monday, August 31, 2015 9:46 PM
> To: r-help at r-project.org
> Subject: Re: [R] Median on second group of CSV file produce Na
>
> I have an issue ans i posted it , so i would like to receive a solution
> please
>
> On Mon, Aug 31, 2015 at 8:35 PM, shawin [via R] <
> ml-node+s789695n4711689h58 at n4.nabble.com> wrote:
>
> > I have a data frame  csv file and I'm trying to calculate median for
> > each group separately row by row . When I separate the data frame in
> > two groups and calculate the median for each one, I am getting an NA
> > result for the second group :
> > the data
> >   x1  x2  x3  x4  x5  x6  x7  y1  y2  y3  y4  y5  y6  y7  y8
> > 9.488404158 9.470895414 9.282433728 9.366707445 9.955383045
> 9.640816474
> > 9.606262272   9.329651027 9.434541611 9.473922432 9.311412966
> 9.3154885
> > 9.434977488 9.470895414 9.764258059
> > 8.630629966 8.55831075  8.788391003 8.576231135 8.671587906
> > 8.842979993
> > 8.861958856 8.58330436  8.603596508 8.570129609 8.59798922
> > 8.572686772
> > 8.679751791 8.663950953 8.432875347
> > 9.354748885 9.367668838 9.259952558 9.421538213 9.554635162
> > 9.603744578
> > 9.452197983 9.284228877 9.404607878 9.317737979 9.343115301
> > 9.310644266
> > 9.27227486  9.360337823 9.44706281
> > 9.944863964 9.950427516 10.19101759 10.07350804 10.03269879
> 10.1307908
> >  10.03487287 9.74609383  9.886379007 9.775472567 10.036596
> 9.544738458
> > 9.699611598 9.911962567
> > 9.625804277
> >
> >
> >                                    Code:
> >
> >        rowN <- nrow(AT1)
> >        MD1<-vector(length=rowN)
> >       MD2<-vector(length=rowN)
> >
> >           MD1[1:rowN]<-NA
> >           MD2[1:rowN]<-NA
> >
> >
> >          x<- AT1[,c(2,3,4,5,6,7,8) ]
> >         write.csv(x,"x.csv",row.names=TRUE)
> >          x<-as.matrix(x)
> >         for(i in 2:rowN) {
> >        MD1[i]=median(x[i,])
> >           }
> >          write.csv(MD1,"MD1.csv",row.names=TRUE)
> >
> >          y<- AT1[,c(9,10,11,12,13,14,15,16)]
> >          write.csv(y,"y.csv",row.names=TRUE)
> >          y<-as.matrix(y)
> >          for(j in 2:rowN) {
> >          MD2[j]=median(y[j,])
> >           }
> >          write.csv(MD2,"MD2.csv",row.names=TRUE)
> >
> >
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