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

Michael Dewey lists at dewey.myzen.co.uk
Tue Sep 1 15:36:31 CEST 2015


What happened when you did summary(y) or str(y)?

On 01/09/2015 08:57, Navien wrote:
> Dear Michael ,
>
> Thank you very much for your reply , kindly  please can i send you the
> program and data please , y is shown a normal csv file no issue with it :(
>
>
> Kind Regards
>
> On Tue, Sep 1, 2015 at 8:36 AM, Michael Dewey-3 [via R] <
> ml-node+s789695n4711707h94 at n4.nabble.com> wrote:
>
>> Dear Shawin
>>
>> You probably did not get an answer because
>> 1 - you seem to have posted in HTML which mangled your post into
>> unreadability
>> 2 - there seem to be lots of lines which do not do anything germane to
>> the problem.
>>
>> Why not try summary(y) or str(y) before you convert it to a matrix and
>> see what it says?
>>
>> On 31/08/2015 20:46, shawin wrote:
>>
>>> 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] <
>>> [hidden email] <http:///user/SendEmail.jtp?type=node&node=4711707&i=0>>
>> 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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>> --
>> Michael
>> http://www.dewey.myzen.co.uk/home.html
>>
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-- 
Michael
http://www.dewey.myzen.co.uk/home.html



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