Dear R-User,
Appreciate any helps.
Given that I have a dataframe of tree population with three variable:
sp=species ,
d0=initial_size
grow=growth increment from initial size per year
How can I calculate the future growth of each tree for the next 10 years.
The following Rscript was written,
Dear R-User,
Appreciate any helps. It looks simple, but I don't have a clue.
Given that I have a dataframe of tree population with three variables:
sp=species ,
d0=initial_size
grow=growth increment from initial size per year
How can I calculate the future growth increment of each tree for th
Dear Kane,
Great and thanks for the do.call function.
Abd Rahman
From: arun [smartpink...@yahoo.com]
Sent: Saturday, June 01, 2013 12:23 AM
To: Abdul Rahman bin Kassim (Dr.)
Cc: R help; John Kane
Subject: Re: [R] Returning combine output from R loop
Hi
-
Abd Rahman
From: John Kane [jrkrid...@inbox.com]
Sent: Friday, May 31, 2013 10:33 PM
To: Abdul Rahman bin Kassim (Dr.); r-help@r-project.org
Subject: RE: [R] Returning combine output from R loop
One way is to put them in a list.
Does this help?
a0 <- data.frame(initial_size=sample(30,1
: Friday, May 31, 2013 4:12 PM
To: Abdul Rahman bin Kassim (Dr.); r-help@r-project.org
Subject: RE: [R] Returning combine output from R loop
In line with what you are doing now, but saving the intermediate results
you could use something like this.
a3 <- a0
for( i in 1:3)
{
a1 <- a0$initial_s
Dear R-User,
Appreciate any advice on producing combine output from an R loop. Planning to
project the growth (grow) of plant species (sp) from its initia size
(initial_size). Using the follwing example, how can I produce the results
combining the output from 3 iteration. The ouput a2 produce
Hi everybody
I need help to solve the following problem in finite element
A field variable f(x,y)=xᵌ y is defined over a rectangle domain
Ω={K: 0≤x≥4 , 0≤y≥6” Given the expression
g=∬_(0 0)^(6 4)▒〖X^3 Y dx dy〗
And assume the following bilinear interpolation shape functions are used to
discr
Its very much simple.
Simply, if we do like the following
x<-c(100,200,300,400,500)
y<-c(1.1, 1.2, 1.3, 1.4, 1.5)
a<-c(600, 700, 800, 900, 1000)
b<-(1.5, 1.7, 1.9, 2.1, 2.3)
plot(x,y)
points(a,b)
As you can see the call to points() function will superimpose a new
curve (with some new points on x-
this: the hundreds should appear on x-axis and the
fractional values of y axis.
Thanks alot.
MEMON Abdul Wahid
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Dear all,
Given mypi
mypi <- c(0.1,0.2,0.2,0.1,0.3,0.4,0.4,0.4,0.4,0.2)
I want to create myfreq as follows
mypi myfreq
0.1 2
0.2 3
0.2 3
0.1 2
0.3 1
0.4 4
0.4 4
0.4 4
0.4 4
0.2 3
where myfreq is frequency of its corresponding observation. How to do that?
Thank you,
Regards,
A. Kudus
Institu
$id,3,replace=F)
> selected.id
[1] 9 7 1
I want to select data with corresponding selected.id, namely
> selected.data
id x
9 9 0.2887064
7 7 0.7981568
1 1 0.3604464
How to do?
Tq.
Abdul Kudus
Institute for Mathematical Research
Universiti Putra Malaysia
[[alternative
Dera Graham
I would highly be thankful if u help me how to do 1. Wilk's Lambda test
2. Box plots and 3. pooled within group standardization in discriminant
analysis with 6 variables in R. Actually I am new to R but I have an
assignment to analyse some questions only in R and there is drawback for
Hi all,
Is there anyone know about R function for getting robust estimate of
Buckley-James general liner model for censored data?
tq,
Abdul Kudus
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