[R] a similar question

arun smartpink111 at yahoo.com
Thu Feb 28 01:14:28 CET 2013


Dear Elisa,

Try this:
dat1<- read.table(text="
 V1    V2
1 1.939064 1.791503
2   1.670409 1.508740
3   2.641346       NA
4   2.772702       NA
5   3.401987       NA
6   2.323481 1.965391
7   2.135438 1.724173
8   2.404821       NA
9   3.273616       NA
10  2.058073       NA
11  2.711462       NA
12  1.871119 1.599446
13  2.599939       NA
14  2.174406 1.831875
15  2.377755       NA
16  1.735191 1.713195
17  1.968154 1.836061
18  3.455566       NA
19  2.443566       NA
20  1.865691 1.511079
21  2.219164 1.872533
22  3.011284       NA
23  1.573508 1.312573
24  2.645591       NA
25  1.781628 1.563686
26  4.223059       NA
27  2.617404       NA
28  2.910262       NA
29  2.621719       NA
30  2.084573       NA
31  2.779583       NA
32  2.925445       NA
33  2.768464       NA
",sep="",header=TRUE)
 mat1<-as.matrix(dat1)
 attr(mat1,"dimnames")<- NULL
 mat2<- head(mat1)
#mat2
resNew2<-do.call(cbind,lapply(seq_len(nrow(mat2)),function(i) do.call(rbind,lapply(split(rbind(mat2[i,],mat2[-i,]),1:nrow(rbind(mat2[i,],mat2[-i,]))),function(x) {x1<- rbind(mat2[i,],x); x2<-x1[order(x1[,2]),];ifelse(sum(is.na(x2[,2]))==0, sum(abs(diff(x2[,1])),abs(diff(x2[,2]))),ifelse(sum(is.na(x2[,2]))==1,sum(abs(diff(x2[,1])),abs(x2[1,2]-x2[2,1])),abs(x2[1,1]-x2[2,1]))) }))))
 resNew3<- do.call(cbind,lapply(seq_len(ncol(resNew2)),function(i) c(c(tail(resNew2[seq(1,i,1),i],-1),0),resNew2[-c(1:i),i])))
 attr(resNew3,"dimnames")<-NULL
 resNew3
#         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]
#[1,] 0.000000 0.551418 1.552125 1.814837 3.073407 0.558305
#[2,] 0.551418 0.000000 2.103543 2.366255 3.624825 1.109723
#[3,] 1.552125 2.103543 0.000000 0.131356 0.760641 0.993820
#[4,] 1.814837 2.366255 0.131356 0.000000 0.629285 1.256532
#[5,] 3.073407 3.624825 0.760641 0.629285 0.000000 2.515102
#[6,] 0.558305 1.109723 0.993820 1.256532 2.515102 0.000000


#mat1
res<-do.call(cbind,lapply(seq_len(nrow(mat1)),function(i) do.call(rbind,lapply(split(rbind(mat1[i,],mat1[-i,]),1:nrow(rbind(mat1[i,],mat1[-i,]))),function(x) {x1<- rbind(mat1[i,],x); x2<-x1[order(x1[,2]),];ifelse(sum(is.na(x2[,2]))==0, sum(abs(diff(x2[,1])),abs(diff(x2[,2]))),ifelse(sum(is.na(x2[,2]))==1,sum(abs(diff(x2[,1])),abs(x2[1,2]-x2[2,1])),abs(x2[1,1]-x2[2,1]))) }))))
 res2<- do.call(cbind,lapply(seq_len(ncol(res)),function(i) c(c(tail(res[seq(1,i,1),i],-1),0),res[-c(1:i),i])))
 attr(res2,"dimnames")<-NULL
 head(res2,3)
#         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
#[1,] 0.000000 0.551418 1.552125 1.814837 3.073407 0.558305 0.263704 1.079075
#[2,] 0.551418 0.000000 2.103543 2.366255 3.624825 1.109723 0.680462 1.630493
#[3,] 1.552125 2.103543 0.000000 0.131356 0.760641 0.993820 1.423081 0.236525
#         [,9]    [,10]    [,11]    [,12]    [,13]    [,14]    [,15]    [,16]
#[1,] 2.816665 0.385579 1.692357 0.260002 1.469311 0.275714 1.024943 0.282181
#[2,] 3.368083 0.936997 2.243775 0.291416 2.020729 0.827132 1.576361 0.269237
#[3,] 0.632270 0.583273 0.070116 1.812127 0.041407 1.276411 0.263591 1.834306
#        [,17]    [,18]    [,19]    [,20]    [,21]    [,22]    [,23]    [,24]
#[1,] 0.073648 3.180565 1.156565 0.353797 0.361130 2.292001 0.844486 1.560615
#[2,] 0.625066 3.731983 1.707983 0.197621 0.912548 2.843419 0.293068 2.112033
#[3,] 1.478477 0.814220 0.197780 1.905922 1.190995 0.369938 2.396611 0.004245
#        [,25]    [,26]    [,27]    [,28]    [,29]    [,30]    [,31]    [,32]
#[1,] 0.385253 4.715551 1.504241 2.089957 1.512871 0.438579 1.828599 2.120323
#[2,] 0.166165 5.266969 2.055659 2.641375 2.064289 0.989997 2.380017 2.671741
#[3,] 1.937378 1.581713 0.023942 0.268916 0.019627 0.556773 0.138237 0.284099
#        [,33]
#[1,] 1.806361
#[2,] 2.357779
#[3,] 0.127118

A.K.









________________________________
From: eliza botto <eliza_botto at hotmail.com>
To: "smartpink111 at yahoo.com" <smartpink111 at yahoo.com> 
Sent: Wednesday, February 27, 2013 6:49 PM
Subject: RE: a similar question



Dear Arun,
Sorry for late replying. i only want to be applied for two column as in case of "res" matrix i sent to you.
Here it is again
 [,1]       [,2]
 1   1.939064 1.791503
 2   1.670409 1.508740
 3   2.641346       NA
 4   2.772702       NA
 5   3.401987       NA
 6   2.323481 1.965391
 7   2.135438 1.724173
 8   2.404821       NA
 9   3.273616       NA
 10  2.058073       NA
 11  2.711462       NA
 12  1.871119 1.599446
 13  2.599939       NA
 14  2.174406 1.831875
 15  2.377755       NA
 16  1.735191 1.713195
 17  1.968154 1.836061
 18  3.455566       NA
 19  2.443566       NA
 20  1.865691 1.511079
 21  2.219164 1.872533
 22  3.011284       NA
 23  1.573508 1.312573
 24  2.645591       NA
 25  1.781628 1.563686
 26  4.223059       NA
 27  2.617404       NA
 28  2.910262       NA
 29  2.621719       NA
 30  2.084573       NA
 31  2.779583       NA
 32  2.925445       NA
 33  2.768464       NA


> Date: Wed, 27 Feb 2013 14:00:09 -0800
> From: smartpink111 at yahoo.com
> Subject: Re: a similar question
> To: eliza_botto at hotmail.com
> 
> HI Elisa,
> 
> Your question is not clear.  
> 
>  dim(dat) #dput data
> #[1]  33 124
> 
> 
> 
> Between row 1 and 2
> ===============
> abs[(1,1)-(2,1)]+abs[(1,2)-(2,2)]
> 
> Between row 1 and 3
> ===============
> abs[(1,1)-(3,1)]+abs[(1,2)-(3,1)]
> 
> You saw that when there is an NA in the row then both the values are to subtracted from the same number.
> 
> Now if there is NA in both the rows then
> 
> Between row 3 and 4
> ===============
> abs[(3,1)-(4,1)]
> 
> Here, there are many columns and how do you want this to be applied?
> For example in the simple case of 2 columns, this is possible, but with multiple columns and multiple rows with NA or numbers, how is the 2nd and 3rd possibility to be applied?
> Arun
> 
> 
> 
> 
> 
> 
> 
> 
> 
> ________________________________
> From: eliza botto <eliza_botto at hotmail.com>
> To: "smartpink111 at yahoo.com" <smartpink111 at yahoo.com> 
> Sent: Wednesday, February 27, 2013 12:48 PM
> Subject: a similar question
> 
> 
> 
> Dear Arun,
> 
> I have a much problem to the one i sent you earlier...
> 
>  i have two columns of a matrix with 124 rows like the followings
> >res
>    [,1]       [,2]
> 1   1.939064 1.791503
> 2   1.670409 1.508740
> 3   2.641346       NA
> 4   2.772702       NA
> 5   3.401987       NA
> 6   2.323481 1.965391
> 7   2.135438 1.724173
> 8   2.404821       NA
> 9   3.273616       NA
> 10  2.058073       NA
> 11  2.711462       NA
> 12  1.871119 1.599446
> 13  2.599939       NA
> 14  2.174406 1.831875
> 15  2.377755       NA
> 16  1.735191 1.713195
> 17  1.968154 1.836061
> 18  3.455566       NA
> 19  2.443566       NA
> 20  1.865691 1.511079
> 21  2.219164 1.872533
> 22  3.011284       NA
> 23  1.573508 1.312573
> 24  2.645591       NA
> 25  1.781628 1.563686
> 26  4.223059       NA
> 27  2.617404       NA
> 28  2.910262       NA
> 29  2.621719       NA
> 30  2.084573       NA
> 31  2.779583       NA
> 32  2.925445       NA
> 33  2.768464       NA
> 
> 
> i want to the following operations
> 
> Between row 1 and 2
> ===============
> abs[(1,1)-(2,1)]+abs[(1,2)-(2,2)]
> 
> Between row 1 and 3
> ===============
> abs[(1,1)-(3,1)]+abs[(1,2)-(3,1)]
> 
> You saw that when there is an NA in the row then both the values are to subtracted from the same number.
> 
> Now if there is NA in both the rows then
> 
> Between row 3 and 4
> ===============
> abs[(3,1)-(4,1)]
> 
> > dput(head(res,33))
> structure(c(0, 0.55141840341246, NA, NA, NA, 0.21052966128458, 
> 0.12904397545065, NA, NA, NA, NA, 0.26000212187111, NA, 0.19497039591301, 
> NA, 0.28218135777027, 0.0154679811559602, NA, NA, 0.35379744900785, 
> 0.19907070014522, NA, 0.84448533806427, NA, 0.38525327569244, 
> NA, NA, NA, NA, NA, NA, NA, NA, 0.0141081484682, 0, NA, NA, NA, 
> 0.19642151281638, 0.24959601164407, NA, NA, NA, NA, 0.11000417752067, 
> NA, 0.18086224744481, NA, 0.13967186326883, 0.0295761296241601, 
> NA, NA, 0.19294355018347, 0.18496255167702, NA, 0.29306693465181, 
> NA, 0.0562739047873999, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, 0.55830502624402, 1.10972342965648, NA, NA, NA, 0, 0.42926105079337, 
> NA, NA, NA, NA, 0.81830714811513, NA, 0.28259146007687, NA, 0.84048638401429, 
> 0.48465725879666, NA, NA, 0.91210247525187, 0.1971749861944, 
> NA, 1.40279036430829, NA, 0.94355830193646, NA, NA, NA, NA, NA, 
> NA, NA, NA, 0.26370416011227, 0.68046237886311, NA, NA, NA, 0.0531744988276899, 
> 0, NA, NA, NA, NA, 0.38904609732176, NA, 0.0687337641992598, 
> NA, 0.41122533322092, 0.27917214126823, NA, NA, 0.4828414244585, 
> 0.0646334599670497, NA, 0.97352931351492, NA, 0.51429725114309, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.12411232598887, 
> 0.29141628154135, NA, NA, NA, 0.0864173352957098, 0.1395918341234, 
> NA, NA, NA, NA, 0, NA, 0.0708580699241399, NA, 0.2496760407895, 
> 0.13958030714483, NA, NA, 0.09379532713674, 0.07495837415635, 
> NA, 0.58448321619316, NA, 0.12525115382133, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, 0.27571356616715, 0.82713196957961, NA, NA, NA, 
> 0.0155592653715699, 0.1466695907165, NA, NA, NA, NA, 0.53571568803826, 
> NA, 0, NA, 0.55789492393742, 0.21043837706897, NA, NA, 0.629511015175, 
> 0.00410030423221008, NA, 1.12019890423142, NA, 0.66096684185959, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.12556371480063, 0.26923704564219, 
> NA, NA, NA, 0.33609337608521, 0.3892678749129, NA, NA, NA, NA, 
> 0.0221792358991602, NA, 0.32053411071364, NA, 0, 0.11009573364467, 
> NA, NA, 0.0716160912375798, 0.32463441494585, NA, 0.562303980294, 
> NA, 0.10307191792217, NA, NA, NA, NA, NA, NA, NA, NA, 0.0736477674473601, 
> 0.62506617085982, NA, NA, NA, 0.22599764244054, 0.0553962080032897, 
> NA, NA, NA, NA, 0.33364988931847, NA, 0.20206579871979, NA, 0.35582912521763, 
> 0, NA, NA, 0.42744521645521, 0.21453868130118, NA, 0.91813310551163, 
> NA, 0.4589010431398, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> 0.20705169865167, 0.19762095440461, NA, NA, NA, 0.00347796263291, 
> 0.0566524614605999, NA, NA, NA, NA, 0.0829393726627998, NA, 0.0120813027386599, 
> NA, 0.3326154134523, 0.22251967980763, NA, NA, 0, 0.00798099850644984, 
> NA, 0.49068788905642, NA, 0.13666964539607, NA, NA, NA, NA, NA, 
> NA, NA, NA, 0.36113004004962, 0.91254844346208, NA, NA, NA, 0.0114589611393598, 
> 0.23208606459897, NA, NA, NA, NA, 0.62113216192073, NA, 0.0854164738824699, 
> NA, 0.64331139781989, 0.28748227260226, NA, NA, 0.71492748905747, 
> 0, NA, 1.20561537811389, NA, 0.74638331574206, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, 0.11337473035895, 0.0992665818907501, NA, 
> NA, NA, 0.0971549309256299, 0.15032942975332, NA, NA, NA, NA, 
> 0.01073759562992, NA, 0.0815956655540599, NA, 0.23893844515958, 
> 0.12884271151491, NA, NA, 0.0936769682927199, 0.08569596978627, 
> NA, 0, NA, 0.0429926771033502, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, 0.0703820532555999, 0.16616512772002, NA, NA, NA, 0.14014760802898, 
> 0.19332210685667, NA, NA, NA, NA, 0.0537302727332702, NA, 0.12458834265741, 
> NA, 0.19594576805623, 0.08585003441156, NA, NA, 0.0314558266845901, 
> 0.12868864688962, NA, 0.45923206237183, NA, 0, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.2646099845617, 
> 0.81602838797416, NA, NA, NA, 0.0909196620326802, 0.13556600911105, 
> NA, NA, NA, NA, 0.52461210643281, NA, 0.0111035816054501, NA, 
> 0.54679134233197, 0.19096221711434, NA, NA, 0.61840743356955, 
> 0.0794607008933204, NA, 1.10909532262597, NA, 0.64986326025414, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, 0.14935730289419, 0.70077570630665, NA, NA, NA, 0.19938780049321, 
> 0.0203133274435403, NA, NA, NA, NA, 0.4093594247653, NA, 0.12635626327296, 
> NA, 0.43153866066446, 0.07570953544683, NA, NA, 0.50315475190204, 
> 0.18792883935385, NA, 0.99384264095846, NA, 0.53461057858663, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.04990651671688, 0.0500236721055403, 
> NA, NA, NA, 0.1606231445677, 0.21379764339539, NA, NA, NA, NA, 
> 0.0742058092719902, NA, 0.14506387919613, NA, 0.17547023151751, 
> 0.0653744978728401, NA, NA, 0.14759728229907, 0.14916418342834, 
> NA, 0.34309060675735, NA, 0.0204755365387199, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.0451834562530797, 
> 0.0310753077848798, NA, NA, NA, 0.1653462050315, 0.21852070385919, 
> NA, NA, NA, NA, 0.0789288697357904, NA, 0.14978693965993, NA, 
> 0.17074717105371, 0.0606514374090399, NA, NA, 0.16186824239859, 
> 0.15388724389214, NA, 0.0681912741058703, NA, 0.0251985970025201, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.45350165923706, 
> 1.00492006264952, NA, NA, NA, 0.0759252471688001, 0.32445768378641, 
> NA, NA, NA, NA, 0.71350378110817, NA, 0.17778809306991, NA, 0.73568301700733, 
> 0.3798538917897, NA, NA, 0.80729910824491, 0.0923716191874402, 
> NA, 1.29798699730133, NA, 0.8387549349295, NA, NA, NA, NA, NA, 
> NA, NA, NA, 0.20869063663638, 0.30476352983468, NA, NA, NA, 0.00183902464820007, 
> 0.0550135234758899, NA, NA, NA, NA, 0.0845783106475098, NA, 0.0137202407233699, 
> NA, 0.33425435143701, 0.22415861779234, NA, NA, 0.10714257543007, 
> 0.00961993649115978, NA, 0.59783046448649, NA, 0.13859840211466, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.15548483984177, 0.14137669137357, 
> NA, NA, NA, 0.0550448214428099, 0.1082193202705, NA, NA, NA, 
> NA, 0.0313725138529, NA, 0.0394855560712399, NA, 0.2810485546424, 
> 0.17095282099773, NA, NA, 0.0515668588098999, 0.04358586030345, 
> NA, 0.04211010948282, NA, 0.0851027865861702, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, 1.77257861901135, 2.32399702242381, NA, NA, NA, 1.21427359276733, 
> 1.6435346435607, NA, NA, NA, NA, 2.03258074088246, NA, 1.4968650528442, 
> NA, 2.05475997678162, 1.69893085156399, NA, NA, 2.1263760680192, 
> 1.41144857896173, NA, 2.61706395707562, NA, 2.15783189470379, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.5768660317613, 
> 1.12828443517376, NA, NA, NA, 0.01856100551728, 0.44782205631065, 
> NA, NA, NA, NA, 0.83686815363241, NA, 0.30115246559415, NA, 0.85904738953157, 
> 0.50321826431394, NA, NA, 0.93066348076915, 0.21573599171168, 
> NA, 1.42135136982557, NA, 0.96211930745374, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.19394432473824, 0.17983617627004, 
> NA, NA, NA, 0.01658533654634, 0.0697598353740299, NA, NA, NA, 
> NA, 0.0698319987493699, NA, 0.00102607117477005, NA, 0.31950803953887, 
> 0.2094123058942, NA, NA, 0.01310737391343, 0.00512637540698013, 
> NA, 0.45793766238951, NA, 0.12356227148264, NA, NA, NA, NA, NA, 
> NA, NA, NA, 0.09762102156823, 0.21834144893267, NA, NA, NA, 0.30815068285281, 
> 0.3613251816805, NA, NA, NA, NA, 0.0730748326086801, NA, 0.29259141748124, 
> NA, 0.0279426932324001, 0.0821530404122699, NA, NA, 0.0207204945280599, 
> 0.29669172171345, NA, 0.51140838358448, NA, 0.05217632121265, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, 0.17881748976533, 0.73023589317779, NA, 
> NA, NA, 0.15549234768719, 0.0497735143146802, NA, NA, NA, NA, 
> 0.43881961163644, NA, 0.0968960764018201, NA, 0.4609988475356, 
> 0.10516972231797, NA, NA, 0.53261493877318, 0.14403338654783, 
> NA, 1.0233028278296, NA, 0.56407076545777, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, 0.53092836559544, 1.0823467690079, NA, NA, NA, 
> 0.0273766606485797, 0.40188439014479, NA, NA, NA, NA, 0.79093048746655, 
> NA, 0.25521479942829, NA, 0.81310972336571, 0.45728059814808, 
> NA, NA, 0.88472581460329, 0.16979832554582, NA, 1.37541370365971, 
> NA, 0.91618164128788, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
> NA, NA, NA, NA, NA, NA, NA), .Dim = c(33L, 124L))
> 
> 
> Thankyou very much iindeed in advance
> 
> Elisa



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