Displaying 20 results from an estimated 9000 matches similar to: "use zoo package with multiple column data sets"
2006 Jul 08
2
String mathematical function to R-function
hello
I make a subroutine that give-me a (mathematical)
function in string format.
I would like transform this string into function ( R
function ).
thanks for any tips.
cleber
#e.g.
fun_String = "-100*x1 + 0*x2 + 100*x3"
fun <- function(x1,x2,x3){
return(
############
evaluation( fun_String )
############
)
True String mathematical function :-( :-(
> nomes
[1]
2009 Nov 09
3
How to transform the Matrix into the way I want it ???
Hi, R users,
I'm trying to transform a matrix A into B (see below). Anyone knows how to
do it in R? Thanks.
Matrix A (zone to zone travel time)
zone z1 z2 z3 z1 0 2.9 4.3 z2 2.9 0 2.5 z3 4.3 2.5 0
B:
from to time z1 z1 0 z1 z2 2.9 z1 z3 4.3 z2 z1 2.9 z2 z2 0 z2 z3 2.5 z3 z1
4.3 z3 z2 2.5 z3 z3 0
The real matrix I have is much larger, with more than 2000 zones. But I
think it should
2006 Jan 27
1
about lm restrictions...
Hello all R-users
_question 1_
I need to make a statistical model and respective ANOVA table
but I get distinct results for
the T-test (in summary(lm.object) function) and
the F-test (in anova(lm.object) )
shouldn't this two approach give me the same result, i.e
to indicate the same significants terms in both tests???????
obs.
The system has two restrictions:
1) sum( x_i ) = 1
2) sum(
2017 Jul 28
3
problem with "unique" function
I have the joint distribution of three discrete random variables z1, z2 and
z3 which is captured by "z"
and "prob" as described below.
For example, the probability for z1=0.46667, z2=-1 and z3=-1 is 2.752e-13.
Also, the probability adds up to 1.
> head(z) z1 z2 z3
[1,] -0.46667 -1.0000 -1.0000
[2,] -0.33333 -0.9333 -0.9333
[3,] -0.20000 -0.8667 -0.8667
2009 Jul 02
1
lpSolve: how to allow variables to become negative
Dear all,
I am interested in solving a MIP problem with binary outcomes and
continuous variables, which ARE NOT RESTRICTED TO BE NEGATIVE. In
particular,
Max {z1,z2,z3,b1} z1 + z2 + z3
(s.t.)
# 7 z1 + 0 z2 + 0 z3 + b1 <= 5
# 0 z1 + 8 z2 + 0 z3 - b1 <= 5
# 0 z1 + 0 z2 + 6 z3 + b1 <= 7
# z1, z2, z3 BINARY {0,1}
# -5<= b1 <=5 (i.e. b1 <= 5; -b1 <= 5 )
Using
2017 Jul 28
0
problem with "unique" function
Most likely, previous computations have ended up giving slightly different values of say 0.13333. A pragmatic way out is to round to, say, 5 digits before applying unique. In this particular case, it seems like all numbers are multiples of 1/30, so another idea could be to multiply by 30, round, and divide by 30.
-pd
> On 28 Jul 2017, at 17:17 , li li <hannah.hlx at gmail.com> wrote:
2009 Nov 24
1
Titles in plots overlap
Hi,
I use fCopulae package to draw different graphs of univariate and bivariate skew t. But the plots titles overlap. I tried using cex.main, font.main to adjust the size but they still overlaps. Here is my code:
par(mfrow = c(3, 1))
mu = 0
Omega = 1
alpha1 = 0
alpha2 = 1.5
alpha3 = 2
alpha4 = 0.5
Z1 = matrix(dmvst(x, 1, mu, Omega, alpha1, df = Inf), length(x))
Z2 = matrix(dmvst(x, 1, mu,
2012 Aug 10
1
Solving binary integer optimization problem
Hi,
I am new to R for solving optimization problems, I have set of communication
channels with limited capacity with two types of costs, fixed and variable
cost. Each channel has expected gain for a single communication.
I want to determine optimal number of communications for each channel
maximizing ROI)return on investment) with overall budget as constraint.60000
is the budget allocated.
2008 Mar 03
1
write csv file from zoo object
# chron
library(chron)
fmt.chron <- function(x) {
chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x))
}
z1 <- read.zoo(SC3.csv, sep = ",", header = TRUE, FUN = fmt.chron)
z2 <- read.zoo(SC2.csv, sep = ",", header = TRUE, FUN = fmt.chron)
z3<-c(z1, z2)
write.table(z3, sep="," , "SC.csv")
How do you
2018 Feb 25
2
include
HI Jim and all,
I want to put one more condition. Include col2 and col3 if they are not
in col1.
Here is the data
mydat <- read.table(textConnection("Col1 Col2 col3
K2 X1 NA
Z1 K1 K2
Z2 NA NA
Z3 X1 NA
Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE)
The desired out put would be
Col1 Col2 col3
1 X1 0 0
2 K1 0 0
3 Y1 0 0
4 W1 0 0
6 K2 X1
2010 Aug 20
2
output values from within a function
Is it possible to get R to output the value of an expression, that is being calculated within a function? I've attached a very simple example but for more complicated ones would like to be able to debug by seeing what the value of specific expressions are each time it cycles through a loop that executes the expression. I'm relatively new to this so there may be much simpler more elegant
2018 Feb 25
0
include
Jim has been exceedingly patient (and may well continue to be so), but this smells like "failure to launch". At what point will you start showing your (failed) attempts at solving your own problems so we can help you work on your specific weaknesses and become self-sufficient?
--
Sent from my phone. Please excuse my brevity.
On February 25, 2018 7:55:55 AM PST, Val <valkremk at
2001 Apr 19
2
extraction
Hello everybody
I am trying to extract some observations from a data frame, ie the
subjects that belong to a given group, and although t-test etc work
if I try to obtain the number of subjects in the subgroup i get some
funny numbers. All the subjects with NA for group are included in
the subgroups 'group==1' etc.
Is this a bug?
for example in Windoze
R : Copyright 2001, The R
2018 Feb 25
0
include
Hi Val,
My fault - I assumed that the NA would be first in the result produced
by "unique":
mydat <- read.table(textConnection("Col1 Col2 col3
Z1 K1 K2
Z2 NA NA
Z3 X1 NA
Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE)
val23<-unique(unlist(mydat[,c("Col2","col3")]))
napos<-which(is.na(val23))
preval<-data.frame(Col1=val23[-napos],
2007 Sep 03
1
Graphic representation of model results
Dear list members,
I am facing difficulties in making a graphics that could show visually
results of a model.
I have tested the effects of 4 quantitative variables (Z1, Z2, Z3, Z4)
on a variable Y using a weighted mixed effects GLM with weights W (using
the glmmPQL function). I applied a blocking approach using factor F2
nested in factor F1 as a grouping structure on a random intercept in
2008 Mar 19
1
betabinomial model
Hi,
can anyone help me fit betabinomial model to the following dataset where
each iD is a cluster in itself , if i use package aod 's betabinom model it
gives an estimate of zero to phi(the correlation coeficient ) and if i fix
it to the anova type estimate obtained from icc( in package aod) then it
says system is exactly singular. And when i try to fit my loglikelihood by
2006 Jun 14
3
A question about stepwise procedures: step function
Dear all,
I tried to use "step" function to do model selection, but I got an error massage. What I don't understand is that data as data.frame worked well for my other programs, how come I cannot make it run this time. Could you please tell me how I can fix it?
***************************************************************************************************
2018 Feb 25
3
include
Thank you Jim,
I read the data as you suggested but I could not find K1 in col1.
rbind(preval,mydat) Col1 Col2 col3
1 <NA> <NA> <NA>
2 X1 <NA> <NA>
3 Y1 <NA> <NA>
4 K2 <NA> <NA>
5 W1 <NA> <NA>
6 Z1 K1 K2
7 Z2 <NA> <NA>
8 Z3 X1 <NA>
9 Z4 Y1 W1
On Sat, Feb 24, 2018 at 6:18 PM, Jim
2017 Jun 25
0
Writing my 3D plot function
Please look at what I see in your code below (run-on code mush) to understand part of why it is important for you to send your email as plain text as the Posting Guide indicates. You might find [1] helpful.
[1] https://wiki.openstack.org/wiki/MailingListEtiquette
--
Sent from my phone. Please excuse my brevity.
On June 25, 2017 2:42:26 PM EDT, Alaios via R-help <r-help at r-project.org>
2018 Feb 25
0
include
hi Val,
Your problem seems to be that the data are read in as a factor. The
simplest way I can think of to get around this is:
mydat <- read.table(textConnection("Col1 Col2 col3
Z1 K1 K2
Z2 NA NA
Z3 X1 NA
Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE)
preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2","col3")]))[-1],
Col2=NA,col3=NA)
rbind(preval,mydat)