I have the following code and I am not sure what's wrong or how to make it
work.
B <- matrix(1,nrow=50,ncol=2)
for (i in 1:length(size.out)){ # length(size.out=2) these
are the two variables
X <- var.range[i,1] # min
Y <- var.range[i,1] # min
ratio <- size.out[,i]
for (j in 1:groups) # no.groups=50
A <- 0
X <- Y # min
Y <- X + span.group.size[i,1] # min + (max-min)/50
for (k in 1:length(ratio)) # there are
11065 observations per variable
if ((X <= ratio[k]) & (ratio[k] >= Y))
A <- A+1
B[j,i] <- A
print(B)
}
basically, what I want to do is obtain a range for the variables in
size.out data frame. I do this by computing min and max and getting a span.
Then I have
var.range is defined by row=variables from size.out and col=[min max]
span.group.size is defined as row=variables from size.out and col=[span]
Now I want to count how many values fall into defined range with if ((X
<ratio[k]) & (ratio[k] >= Y)). This count I need to store which I then
later
on plot.
Thanks.
____________________
Ita Cirovic-Donev
I have the following code and I am not sure what's wrong or how to make it
work.
B <- matrix(1,nrow=50,ncol=2)
for (i in 1:length(size.out)){ # length(size.out=2) these
are the two variables
X <- var.range[i,1] # min
Y <- var.range[i,1] # min
ratio <- size.out[,i]
for (j in 1:groups) # no.groups=50
A <- 0
X <- Y # min
Y <- X + span.group.size[i,1] # min + (max-min)/50
for (k in 1:length(ratio)) # there are
11065 observations per variable
if ((X <= ratio[k]) & (ratio[k] >= Y))
A <- A+1
B[j,i] <- A
print(B)
}
basically, what I want to do is obtain a range for the variables in
size.out data frame. I do this by computing min and max and getting a span.
Then I have
var.range is defined by row=variables from size.out and col=[min max]
span.group.size is defined as row=variables from size.out and col=[span]
Now I want to count how many values fall into defined range with if ((X
<ratio[k]) & (ratio[k] >= Y)). This count I need to store which I then
later
on plot.
Thanks.
____________________
Ita Cirovic-Donev
I guess you missed {} after for ():
for (j in 1:groups) # no.groups=50
## ?? for (j in 1:groups) {
for (k in 1:length(ratio))
## ?? for () {
On 12/23/05, Ita.Cirovic-Donev at hypo-alpe-adria.com
<Ita.Cirovic-Donev at hypo-alpe-adria.com> wrote:>
>
>
>
> I have the following code and I am not sure what's wrong or how to make
it
> work.
>
> B <- matrix(1,nrow=50,ncol=2)
> for (i in 1:length(size.out)){ # length(size.out=2) these
> are the two variables
> X <- var.range[i,1] # min
> Y <- var.range[i,1] # min
> ratio <- size.out[,i]
> for (j in 1:groups) # no.groups=50
> A <- 0
> X <- Y # min
> Y <- X + span.group.size[i,1] # min +
(max-min)/50
> for (k in 1:length(ratio)) # there are
> 11065 observations per variable
> if ((X <= ratio[k]) & (ratio[k] >= Y))
> A <- A+1
> B[j,i] <- A
> print(B)
> }
>
> basically, what I want to do is obtain a range for the variables in
> size.out data frame. I do this by computing min and max and getting a span.
> Then I have
>
> var.range is defined by row=variables from size.out and col=[min max]
> span.group.size is defined as row=variables from size.out and col=[span]
>
> Now I want to count how many values fall into defined range with if ((X
<> ratio[k]) & (ratio[k] >= Y)). This count I need to store which I
then later
> on plot.
>
> Thanks.
> ____________________
> Ita Cirovic-Donev
>
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--
Xiaohua Dai, Dr.