Hi,
Sorry, I forgot names(which(....)
Names2<-apply(res1,1,function(x) paste(names(which(x!=0)),collapse=","))
res2<- data.frame(Frequency=apply(res1,1,function(x) sum(1*(x!=0))),
stations=Names2,stringsAsFactors=FALSE)
res2
# Frequency
#0-25 121
#25-50 122
#50-75 76
#stations
#0-25
#2,4,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124
#25-50
#3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124
#50-75
#11,17,23,26,28,31,32,34,35,36,37,38,39,40,41,42,48,49,51,54,57,59,60,62,65,66,69,70,71,74,76,77,78,79,80,81,82,83,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,122,124
A.K.
----- Original Message -----
From: arun <smartpink...@yahoo.com>
To: eliza botto <eliza_bo...@hotmail.com>
Cc: R help <r-help@r-project.org>
Sent: Monday, March 4, 2013 3:26 PM
Subject: Re: histogram
Hi,
dat1<- read.csv("rightest.csv",sep=",",header=TRUE,check.names=FALSE)
dat2<- as.dist(dat1[,-1],upper=F,diag=F)
vec1<- as.vector(dat2)
label1=c("0-25","25-50","50-75")
Name1<-unlist(lapply(0:123,function(i) rep(i+1,i)))
dat3<-data.frame(Name1,vec1)
res<-t(aggregate(.~Name1,data=dat3,function(x)
table(cut(x,breaks=seq(0,75,25),labels=label1))))
colnames(res)<- res[1,]
res1<- res[-1,]
row.names(res1)<-gsub("vec1.","",row.names(res1))
res1
Names2<-apply(res1,1,function(x) paste(which(x!=0),collapse=","))
res2<- data.frame(Frequency=apply(res1,1,function(x) sum(1*(x!=0))),
stations=Names2,stringsAsFactors=FALSE)
res2
# Frequency
#0-25 121
#25-50 122
#50-75 76
#stations
#0-25
#1,3,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123
#25-50
#2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123
#50-75
#10,16,22,25,27,30,31,33,34,35,36,37,38,39,40,41,47,48,50,53,56,58,59,61,64,65,68,69,70,73,75,76,77,78,79,80,81,82,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,121,123
A.K.
________________________________
From: eliza botto <eliza_bo...@hotmail.com>
To: "smartpink...@yahoo.com" <smartpink...@yahoo.com>
Sent: Monday, March 4, 2013 3:21 PM
Subject: RE: histogram
Dear Arun,
Thanks for replying....
Although codes well defined my problem but the table in the end should look
like the following
its just an imaginary table.....
Range stations
Frequency
0-25 1,2,3,8,9
5
25-50 4,10,11,100
4
50-75 55,56,57
3
Where the "station" column shows the stations where distance of station is
between the corresponding range.... like 1,2,3,8,9 have the distance between
0-25
i hope you wont mind
elisa
> Date: Mon, 4 Mar 2013 11:56:43 -0800
> From: smartpink...@yahoo.com
> Subject: Re: histogram
> To: eliza_bo...@hotmail.com
> CC: r-help@r-project.org
>
> Hi Elisa,
>
> I am not sure about the output you wanted.
> dat1<- read.csv("rightest.csv",sep=",",header=TRUE,check.names=FALSE)
> dat2<- as.dist(dat1[,-1],upper=F,diag=F)
> vec1<- as.vector(dat2)
> label1=c("0-25","25-50","50-75")
> Count1<- as.data.frame(table(cut(vec1,breaks=seq(0,75,25),labels=label1)))
> #Overall count
> Count1
> # Var1 Freq
> #1 0-25 5465
> #2 25-50 1992
> #3 50-75 169
>
>
> Name1<-unlist(lapply(0:123,function(i) rep(i+1,i)))
> length(Name1)
> #[1] 7626
> dat3<-data.frame(Name1,vec1)
> res<-t(aggregate(.~Name1,data=dat3,function(x)
> table(cut(x,breaks=seq(0,75,25),labels=label1))))
> colnames(res)<- res[1,]
> res1<- res[-1,]
> row.names(res1)<-gsub("vec1.","",row.names(res1))
> res1
> # 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
> 28
> #0-25 1 0 2 0 2 3 2 1 1 1 3 1 1 3 2 3 6 3 5 2 4 8 13 21 21 23
> 20
> #25-50 0 2 1 4 3 3 5 7 8 8 8 11 12 11 13 12 11 15 14 18 17 12 10 3 2 3
> 6
> #50-75 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 2 0 0 2 0
> 1
> -----------------------------------------------------------------------------------------------------
>
> A.K.
>
>
>
>
>
> ________________________________
> From: eliza botto <eliza_bo...@hotmail.com>
> To: "smartpink...@yahoo.com" <smartpink...@yahoo.com>
> Sent: Monday, March 4, 2013 11:36 AM
> Subject: histogram
>
>
>
> Dear Arun,
>
> i have a distance matrix as attached in excel file with this email. You can
> read the data via R and
> after reading the data i want you to extract the lower part of distance
> matrix by
> as.dist(x, upper=F, diag=F). You will see that there
> are 124 stations in my study. After that, i want to divide the data into
> three intervals 0-25, 25-75,
> 75-100. Then i want to count the number of stations falling in each interval,
> which will be called
> "Frequency". After that i want to draw the following table
> Range stations
> Frequency
> 0-25 names of station
> Number of stations
> 25-50
> 50-75
> Finally, i want to draw histogram. i know i asked same kind of question
> before, but those commands are not working on distance matrix.
>
> thankyou very very much in advance
> elisa
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