Your spelling of:
HH size
Is two word.
-Original Message-
From: R-help On Behalf Of Nandini raj
Sent: Monday, March 20, 2023 1:17 PM
To: r-help@r-project.org
Subject: [R] DOUBT
Respected sir/madam
can you please suggest what is an unexpected symbol in the below code for
running a
The HH Size is the problem - it doesn't follow R's rules for a name. Put
backticks around it: `HH Size`.
-Bill
On Tue, Mar 21, 2023 at 9:47 AM Nandini raj
wrote:
> Respected sir/madam
> can you please suggest what is an unexpected symbol in the below code for
> running a multinomial logistic r
Dear Nandiniraj,
Please cc r-help in your emails so that others can see what happened
with your problem.
You don't provide enough information to know what exactly is the source
of your problem -- you're more likely to get effective help if you
provide a minimal reproducible example of the p
Dear Nandini raj,
You have a space in the variable name "HH size".
I hope this helps,
John
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
On 2023-03-20 1:16 p.m., Nandini raj wrote:
Respected sir/madam
can you please s
Respected sir/madam
can you please suggest what is an unexpected symbol in the below code for
running a multinomial logistic regression
model <- multinom(adoption ~ age + education + HH size + landholding +
Farmincome + nonfarmincome + creditaccesibility + LHI, data=newdata)
[[alternative
dear members,
I am using caret and caretEnsemble packages for my
research involving machine learning.
This link https://topepo.github.io/caret/train-models-by-tag.html#boosting
indicates the various boosting algorithms available in the caret package.
However, I know tha
Thank you so much for the help !
Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10
From: Richard O'Keefe
Sent: Thursday, June 20, 2019 10:41:49 AM
To: shr...@outlook.com
Cc: r-help@r-project.org
Subject: Re: [R] Regarding R
and scores at the backend of the
code.
Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10
From: Richard O'Keefe
Sent: Thursday, June 20, 2019 2:18:26 AM
To: shr...@outlook.com
Cc: r-help@r-project.org
Subject: Re: [R] Regar
fficulty and discrimination values directly, I just
> want the simple formulas to calculate item difficulty and item
> discrimination.
>
> Also how they have calculated theta(ability) and scores at the backend of
> the code.
>
>
>
>
>
> Sent from Mail <https://go.microsoft.
You did not say what your doubt about R was.
PL2.rasch has some class.
> class(PL2.rasch)
[1] 'Grofnigtz' # or whatever
The summary function is really just a dispatcher.
> summary.Grofnigtz
... a listing comes out here ...
Or you could look in the source code of whatever package you are usin.
Hello,
There are many packages that implement rasch models but I could only
find 2 with summary methods,
package pairwise and
package ltm
See [1] and [2].
To see the source code at an R prompt
print the function code with
summary.
where is the output of
class(PL2.rasch)
R is open sour
You need to say what function in R is creating this. However, how are you
getting a discrimination parameter for Rasch?
-Original Message-
From: R-help On Behalf Of shreepad khandve
Sent: Wednesday, June 19, 2019 2:49 AM
To: r-help@r-project.org
Subject: [R] Regarding R doubt on rasch
Hi Shreepad,
>From the command 'summary(PL2.rasch)' it seems that PL2.rasch is an object.
You don't provide enough details on how this object was created.
What python or R packages? And what functions from those packages were used?
Ideally you would provide a reproducible example, but even without
Hello Team,
I hope you are doing well.
I have one doubt about backend functioning of R command.
Currently I'm working on IRT analysis in python but this function is
implemented in R and in R they have direct rasch model library but no
such library in the Python.
So i wanted to know that is there a
Hello Team,
I hope you are doing well.
I have one doubt about backend functioning of R command.
Currently I'm working on IRT analysis in python but this function is
implemented in R and in R they have direct rasch model library but no such
library in the Python.
So I wanted to know that is there
True, but reading the supplied help is appropriate before contacting the
maintainer.
Specifically,
help("ggfortify")
and click the link to the index and find the autoplot method in the list and
follow that link.
Or you can read the help for the "pam" function and discover that the class of
As I believe the posting guide notes, you may do better addressing
questions about specialized packages to the package maintainers, who often
do not monitor this list.
Cheers,
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus
Iam using autoplot function from the ggfortify library. I saw that autoplot
gives the 1st two principal components. I am using autoplot to generate 1st
two principal components on a clustered object.
The usage is like :
autoplot(pam(my_data[1:256], 3), label = TRUE, label.size = 4, frame =
TRUE, f
On 15/03/2016 12:53 PM, MEHER DIVYA BARATAM wrote:
dear sir/madam,
i am a new learner of r software. while plotting a
graph of data which contains date. i have dates on X-axis, while learning i
got to know i have to convert into R understandable language. i got an
error
dear sir/madam,
i am a new learner of r software. while plotting a
graph of data which contains date. i have dates on X-axis, while learning i
got to know i have to convert into R understandable language. i got an
error while converting
"as.Date(all.2015$Day,%d-%m-%y)
E
Dear Rosa,
coefficents of a probit-regression do not have a odds-ratio
interpretation, you should use a logit link for that.
cheers.
Am 24.09.2015 um 09:51 schrieb Michael Dewey:
> Dear Rosa
>
> Please keep the list on the recipients as others may be able to help.
>
> See inline
>
> On 23/09/2
Dear Michael (and all :))
Thank you very much.
I fixed my problem, I think ;)
Best,
RO
Atenciosamente,
Rosa Oliveira
--
Rosa Celeste dos Santos Oliveira,
E-mail: rosit...@gmail.com
Tlm: +351 939355143
Linkedin:
Dear Rosa
Please keep the list on the recipients as others may be able to help.
See inline
On 23/09/2015 19:19, Rosa Oliveira wrote:
Dear Michael,
*New cleaned code :)(I think :))*
casedata <-read.spss("tas_05112008.sav")
tas.data<-data.frame(casedata)
#Delete patients that were not dis
Dear Michael,
I found some of the errors, but others I wasn’t able to.
And my huge huge problem concerns OR and OR confidence interval :(
New Corrected code:
casedata <-read.spss("tas_05112008.sav")
tas.data<-data.frame(casedata)
#Delete patients that were not discha
Dear Rosa
Can you remove all the code which is not relevant to calculating the
odds ratio so we can see what is going on?
On 23/09/2015 16:06, Rosa Oliveira wrote:
Dear Michael,
I found some of the errors, but others I wasn’t able to.
And my huge huge problem concerns OR and OR confidence
Dear Rosa
It would help if you posted the error messages where they occur so that
we can see which of your commands caused which error. However see
comment inline below.
On 22/09/2015 22:17, Rosa Oliveira wrote:
Dear all,
I’m trying to compute Odds ratio and OR confidence interval.
I’m re
Dear all,
I’m trying to compute Odds ratio and OR confidence interval.
I’m really naive, sorry for that.
I attach my data and my code.
I’m having lots of errors:
1. Error in data.frame(tas1 = tas.data$tas_d2, tas2 = tas.data$tas_d3, tas3 =
tas.data$tas_d4, :
arguments imply differing nu
On Jan 16, 2014, at 11:14 PM, kingsly wrote:
> Thank you dear friends. You have cleared my first doubt.
>
> My second doubt:
> I have the same data sets "Elder" and "Younger". Elder <- data.frame(
> ID=c("ID1","ID2","ID3"),
> age=c(38,35,31))
> Younger <- data.frame(
> ID=c("ID4","ID5"
;,"29","NA": 2 1 3
you can do it in similar way but not so easy.
Petr
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of kingsly
> Sent: Friday, January 17, 2014 6:14 AM
> To: r-help@r-project
Thank you dear friends. You have cleared my first doubt. Â
My second doubt:
I have the same data sets "Elder" and "Younger". Elder <- data.frame(
 ID=c("ID1","ID2","ID3"),
 age=c(38,35,31))
Younger <- data.frame(
 ID=c("ID4","ID5","ID3"),
 age=c(29,21,"NA"))
 Row ID3 comes in both
y that should have been
>
> mer <- rbind(Elder, Younger)
>
> /frede
>
>
> Oprindelig meddelelse
> Fra: Frede Aakmann Tøgersen
> Dato:16/01/2014 15.54 (GMT+01:00)
> Til: "Adams, Jean" ,kingsly
> Cc: R help
> Emne: Re: [R] Doubt in simple merge
>
> No
Ups, sorry that should have been
mer <- rbind(Elder, Younger)
/frede
Oprindelig meddelelse
Fra: Frede Aakmann Tøgersen
Dato:16/01/2014 15.54 (GMT+01:00)
Til: "Adams, Jean" ,kingsly
Cc: R help
Emne: Re: [R] Doubt in simple merge
No I think the OP wants
mer &
No I think the OP wants
mer <- merge(Elder, Younger)
Br. Frede
Oprindelig meddelelse
Fra: "Adams, Jean"
Dato:16/01/2014 15.45 (GMT+01:00)
Til: kingsly
Cc: R help
Emne: Re: [R] Doubt in simple merge
You are telling it to merge by ID only. But it sounds like you
You are telling it to merge by ID only. But it sounds like you would like
it to merge by both ID and age.
merge(Elder, Younger, all=TRUE)
Jean
On Thu, Jan 16, 2014 at 6:25 AM, kingsly wrote:
> Dear R community
>
> I have a two data set called "Elder" and "Younger".
> This is my code for simp
Dear R community
I have a two data set called "Elder" and "Younger".
This is my code for simple merge.
Elder <- data.frame(
 ID=c("ID1","ID2","ID3"),
 age=c(38,35,31))
Younger <- data.frame(
 ID=c("ID4","ID5","ID3"),
 age=c(29,21,31))
mer <- merge(Elder,Younger,by="ID", all=T)
Output
monicamir88 wrote
> Hello!
> I have a doubt with the R software. I have this function:
>
> results <- function(bCODBOD, BOD, VSS, COD, sBOD, sCOD, TSS, TKNpa, T,
> NH3Ne, DO, Q, TKN, MLSS, NO3Ne, RAS, tanoxic1, tanoxic2, rbCOD, SDNR1,
> SDNR2, tdanoxic, tanaerobic, IRp, P) {
> bCOD <- bCODBOD*BOD
On 23/10/2012 9:42 AM, Ivan Calandra wrote:
Hi Julio,
Someone correct me if I'm wrong, but I think you can use '::'
For example:
Stats::filter()
Yes, but there is no "Stats" package: R is case-sensitive, and the
package is called "stats", and needs to be used that way:
stats::filter()
Du
Hi Julio,
Someone correct me if I'm wrong, but I think you can use '::'
For example:
Stats::filter()
HTH,
Ivan
--
Ivan CALANDRA
Université de Bourgogne
UMR CNRS/uB 6282 Biogéosciences
6 Boulevard Gabriel
21000 Dijon, FRANCE
+33(0)3.80.39.63.06
ivan.calan...@u-bourgogne.fr
http://biogeosciences
Dear All,
I I have one doubt about use of the command when has the same name (name of
command) in two packages.
For example:
package: Stats
package: Signal
Both have the filter command.
How use the command (filter) to a specific package, when I need work with both
packages ?
Thanks
Jul
Thank you, Michael and Rui. I think I will adjust namespaces file.
Cheers,
Eva
--- El mar, 21/8/12, R. Michael Weylandt escribió:
De: R. Michael Weylandt
Asunto: Re: [R] Doubt in relation with packaging
Para: "Rui Barradas"
CC: "Eva Prieto Castro" , "r-help"
Rui's solution certainly works, but don't fear namespaces.
For a simple package, you basically just write
export(xxx)
for all the "main" functions and
import(yyy)
for all the packages yyy you use.
If you have S3 methods, it's also important to register those as
S3method(plot, zzz)
If you ar
Hello,
I believe that the simplest way (the one I allways use) is to have the
invisible functions' names start with a period.
.aux <- function(x) # user doesn't see it, R CMD check doesn't force
.Rd file
Hope this helps,
Rui Barradas
Em 20-08-2012 22:06, Eva Prieto Castro escreveu:
Hi,
Hi,
As I told you some days ago, finally I could build the package, but I have one
doubt: my source code has a lot of functions, but the users only need some of
them (the others are auxiliar functions), so there must be a way in order to
make invisibel the auxiliar functions. I think I can do
Hi,
In the standard R benchmarking by Simon Urbanek
(http://r.research.att.com/benchmarks/), the trimmed geometric means
(2 extremes eliminated) within the averages in one category has been
calculated. I am unable to figure the rationale behind this, since
this is across different tests (even thou
Ok I downloaded it and showed you how to get your data out. How to read it
into a raster brick,
how to plot the data, how to get the mean rainfall of every day.lots more
you can do.
there is a bad bit of data in the last time step.
check my blog.
In the future what you should do is write code t
I am sorry, i think the link was broken..! here is the correct one!!!
http://www.4shared.com/file/4zV0g3JR/RF_80-85.html
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
Quoting "Nordlund, Dan (DSHS/RDA)" :
>> -Original Message-
>> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
>> project.org] On Behalf Of govin...@msu.edu
>> Sent: Friday, October 29, 2010 11:56 AM
>> To: r-help@r-pro
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of govin...@msu.edu
> Sent: Friday, October 29, 2010 11:56 AM
> To: r-help@r-project.org
> Subject: Re: [R] doubt in climate variability analysis in R!
the following code was used
library(akima)
library(clim.pact)
nc.1 <- "RF_80-05.nc"
nc.rf.in <- open.ncdf(nc.1)
x1 <- retrieve.nc(nc.1, v.nam="Rainfall",l.scale=FALSE, x.rng=c(70, 80),
y.rng=c(10, 13.5))
#dimension is checked for the subset. (lon, lat, time) is changed as (time,
lat,
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of govin...@msu.edu
> Sent: Friday, October 29, 2010 8:33 AM
> To: r-help@r-project.org
> Subject: [R] doubt in climate variability analysis in R!
>
>
&g
Hello all,
I am trying to use "clim.pact" package for my work, but since this is the
beginning for me to use gridded datasets in "R", I am having some trouble.
I want to do seasonal analyses like trends, anomalies, variograms, EOF and
probably kriging too to downscale my 1 degree gr
Hi:
On Mon, Oct 18, 2010 at 11:32 PM, Cristina Ramalho <
cristina.rama...@grs.uwa.edu.au> wrote:
> Hi all,
>
> I suppose this is a very simple question, but as I've lost already a bit of
> time with it, without being able to get what I wanted, I'm addressing the
> question to the group in the hop
Hi all,
I suppose this is a very simple question, but as I've lost already a bit of
time with it, without being able to get what I wanted, I'm addressing the
question to the group in the hope someone can help me.
I pretend to plot the richness of herbaceous species (RichHN) as a function
of time
Hi,
I'm doing a function that describe two populations in competition.
that's the function that i wrote:
exclusao<-function(n10, n20, k1, k2, alfa, beta, t){
n1<-k1-(alfa*n20)
n2<-k2-(beta*n10)
if(t==0){plot(t, n10, type='b', xlim=range(c(1:t),c
(1:t)), ylim=range(n10, n20), xlab='tempo',
ylab
Hi,
I'm doing a function that describe two populations in competition.
that's the function that i wrote:
exclusao<-function(n10, n20, k1, k2, alfa, beta, t){
n1<-k1-(alfa*n20)
n2<-k2-(beta*n10)
if(t==0){plot(t, n10, type='b', xlim=range(c(1:t),c
(1:t)), ylim=range(n10, n20), xlab='tempo',
ylab
ginal Message
> From: Peter Ehlers
> To: Leonardo K
> Cc: r-help@r-project.org
> Sent: Tue, May 25, 2010 1:41:36 PM
> Subject: Re: [R] doubt about samr siggenes.table$genes.up
>
> On 2010-05-25 10:54, Leonardo K wrote:
>
> Hi, here's my
> siggenes.table$genes
On 2010-05-25 10:54, Leonardo K wrote:
Hi, here's my siggenes.table$genes.up snippet.
Two class unpaired SAMR analysis.
"Row" "Gene ID" "Gene Name" "Score(d)" "Numerator(r)" "Denominator(s+s0)"
"Fold Change" "q-value(%)"
"1" "25" "RPL15P22" "RPL15P22" "-1.44115338424578" "-18" "12.489995996796
Hi, here's my siggenes.table$genes.up snippet.
Two class unpaired SAMR analysis.
"Row" "Gene ID" "Gene Name" "Score(d)" "Numerator(r)" "Denominator(s+s0)"
"Fold Change" "q-value(%)"
"1" "25" "RPL15P22" "RPL15P22" "-1.44115338424578" "-18" "12.4899959967968"
"1.27368448239355" "0"
"2" "47" "CHAF1
hello,
i have a doubt with this function, i need get the returns values because i
have to save in a variables,something like this:
Invernadero<-ts(x2)
test<-auto.arima(x2)
x2.pred.ar31<-predict(arima(x2,order=c(p,d,q)),n.ahead=10)$pred
can i get "p","d" and "q" from "auto.arima"?this is
hello,
i have a doubt with this function, i need get the returns values because i
have to save in a variables,something like this:
Invernadero<-ts(x2)
test<-auto.arima(x2)
x2.pred.ar31<-predict(arima(x2,order=c(p,d,q)),n.ahead=10)$pred
can i get "p","d" and "q" from "auto.arima"?this is my
Hola, ¿qué tal?
No sé si la conoces, pero te invito a participar en la lista oficial de
ayuda de R en español:
https://stat.ethz.ch/mailman/listinfo/r-help-es
A través de ella, además de atender dudas de usuarios, tratamos de crear
una comunidad. De hecho, hace no mucho organizamos las prime
Dear R community,
I'm a beginner with Cluster Analysis. I would like to know if there is a
criterion to select the best set of clusters to do this analysis.
Thanks in advance,
[[alternative HTML version deleted]]
__
R-help@r-project.org mailin
Jombart, Thibaut imperial.ac.uk> writes:
>
> Dear Francisco,
>
> CCA and PCA are quite different methods. CCA regresses your 'response' data
onto a set of explanatory
> variables. This needs to invert the matrix of covariances of the predictors,
which is only possible if
> n>p, where n is the
rg] On Behalf Of
Francisco Javier Santos Alamillos [fsan...@ujaen.es]
Sent: 23 November 2009 21:43
To: r-help@r-project.org
Subject: [R] Doubt about CCA and PCA
Dear R community,
I'm working with PCA and CCA methods, and I have a theoretical question.
Why is it necesary to have more te
Dear R community,
I'm working with PCA and CCA methods, and I have a theoretical question.
Why is it necesary to have more temporal values than variables when the CCA
O PCA are going to be used?
Could you advise to me some any paper about it?
Thanks in advance,
[[alternative HTML versi
Hello,
I performed a boosting analisis with adabag package to obtain a classification
tree with the following set of commands:
Tesis.boost <- adaboost.M1(Captura~., data=Tesis2, mfinal=2)
> arb<-Tesis.boost$tree[[1]]
> post(arb, file ="")
> post(arb, file ="",title= "Arbol 1")
I would like
You might try again, assuming you are a Windows user, which was
suggested by your choice of repositories but not actually stated by
you. The repository may have been temporarily unavailable. It seems to
be open for service now with a version of cluster that is 1.11.13.
--
David Winsemius
On
Hi Sir,
I want to install the package "cluster" in R language.
I could be installing, but I cant load that package..
I have faced the following warning in installing time..
Warning: cannot remove prior installation of package 'cluster'
So, I tried to update the package, but again I faced the f
i am using vglm for multiple logistic regression.
i have 1 response variable (total 4 category)
and 5 predictor.
Call:
vglm(formula = class ~ PC1 + PC2 + PC3 + PC4 + PC5, family = multinomial(),
na.action = na.pass)
Coefficients:
(Intercept):1 (Intercept):2 PC1:1 PC1:2
I'm also suspicious of code using parse to construct
expressions. However this problem arose because the
terms class is a subclass of the formula class and
AlgDesign defines a model.matrix method for the formula
class but not for the terms class. Hence
model.matrix(terms(...))
invokes model.mat
Jose Claudio Faria wrote:
library(AlgDesign)
aov(Sepal.Length ~ Species, data=iris)
Error in parse(text = x) :
unexpected symbol in "Sepal(Sepal.Length+Species)Length"
I wonder it is really a small bug. Do you agree?
Yes, in AlgDesign.
I'm always suspicious of things involving parse()
On 9/04/2009, at 9:17 AM, Jose Claudio Faria wrote:
Hi Peter and Rolf,
Many thanks for all!
The "bug" was just found: it is related with the package AlgDesign!
(and I've been loading it from Rprofile.site already for a long
long time). :-(
I wonder it is really a small bug. Do
Hi Peter and Rolf,
Many thanks for all!
The "bug" was just found: it is related with the package AlgDesign!
(and I've been loading it from Rprofile.site already for a long long time). :-(
See below:
R version 2.8.1 Patched (2009-01-22 r47680)
Copyright (C) 2009 The R Foundation for Statistical
Jose Claudio Faria wrote:
# a) aov
av <- aov(Sepal.Length ~ Species, data=iris)
Error in parse(text = x) :
unexpected symbol in "Sepal(Sepal.Length+Species)Length"
traceback()
13: parse(text = x)
12: eval(parse(text = x)[[1]])
11: formula(eval(parse(text = x)[[1]]))
10: formula.character(
# a) aov
> av <- aov(Sepal.Length ~ Species, data=iris)
Error in parse(text = x) :
unexpected symbol in "Sepal(Sepal.Length+Species)Length"
> traceback()
13: parse(text = x)
12: eval(parse(text = x)[[1]])
11: formula(eval(parse(text = x)[[1]]))
10: formula.character(object, env = baseenv())
9:
Rolf Turner wrote:
There is no bug.
Both of your examples work fine for me.
Ditto
You may have a corrupt
version of ``iris'' somewhere in your search path before ``datasets''.
What does find("iris") tell you? What does names("iris") tell you?
Could also be something interfering with t
I've been finding the same problem in all R versions I'm using after
2.6.0 (I think).
> find("iris")
[1] ".GlobalEnv" "package:datasets"
It is really strange...
--
///\\\///\\\///\\\///\\\///\\\///\\\///\\\///\\\
Jose Claudio Faria
Estatistica - prof. Titular
UESC/DCET/Brasil
joseclaudio.f
There is no bug.
Both of your examples work fine for me. You may have a corrupt
version of ``iris'' somewhere in your search path before ``datasets''.
What does find("iris") tell you? What does names("iris") tell you?
cheers,
Rolf Turner
On 9/04/2009, at 8:16 AM, Jo
Hi,
The below very strange:
# a) aov function
av <- aov(Sepal.Length ~ Species, data=iris)
# Error in parse(text = x) :
# unexpected symbol in "Sepal(Sepal.Length+Species)Length"
av <- aov(iris[, 1] ~ iris[, 5])
# summary(av)
# Df Sum Sq Mean Sq F value Pr(>F)
# iris[, 5]
I assume that you mean a file sie of 566MB? Is this the size of the
text file? If so how is the text file structured? What type of
system are you running? How much physical memory do you have? What
kind of processing do you want to do with the data? Do you have to
have all of it at once? For
Dear Developers,
I want to import the large size (566.639 kb) of data in R. I will try through
txt, excel,xml,in this way I successes only small amount of data .but I
want to load or import large amount of data in R .so please give me
Suggestion
Shanthi Rangasamy
Ph. D. Student
Electronics
On 3/5/2009 7:53 AM, Sueli Rodrigues wrote:
>
> Hello. I have a file with 480 lines but each 6 lines corresponding just
> one sample. How can can work out the linear regression to each 6 lines?
> I use the model: model=lm(y~x)
mydf <- data.frame(X = rnorm(480), Y = rnorm(480))
mydf$SAMPLE <- rep(
Hello. I have a file with 480 lines but each 6 lines corresponding just
one sample. How can can work out the linear regression to each 6 lines?
I use the model: model=lm(y~x)
Sueli Rodrigues
Agronomy Eng. - UNESP
Master Degree - USP/ESALQ
PPG-Soils and Plants Nutrition
Phones(19)93442981
Hi, my name is Angel, i'm doing a program in Java which calls R in order to
do some operations. Well, I don't know how can I instal JRI; first, it's
said that I need a program named MinGW and I have downloaded it and tried to
install it; here all is ok, but when i tried to execute the program, it
d
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Uwe Ligges
Kurapati, Ravichandra (Ravichandra) wrote:
Hi
Lets say
Main(){
Fcaproxy(user="ravi",password
Hi
Lets say
Main(){
Fcaproxy(user="ravi",password="db",database="oracle",host="10.0.0.3")
}
"Fcaproxy" <-Function(...,importlimit=""){
Dbproxy(...)
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