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

[shawin]

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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