On Tue, Feb 4, 2014 at 4:18 PM, Duncan Murdoch wrote:
>
> On 14-02-04 5:49 AM, Majid Einian wrote:
>>
>> Dear R Helpers,
>>
>> See the Code:
>>
>> a <- intToUtf8(1777)
>> show(a)
>> zz <- file(description="test.txt",open="w",encoding="UTF-8")
>> cat(a, file = zz)
>> close(zz)
>>
>> in a Unicode aw
Hi,
May be this helps:
DataA <- read.table(text="ID,Var1,Var2
1,A,100
1,B,50
2,A,200
2,B,100
2,B,50",sep=",",header=TRUE,stringsAsFactors=FALSE)
dcast(DataA,ID~Var1,value.var="Var2") ## I guess this is what you mentioned
#Aggregation function missing: defaulting to length
# ID A B
#1 1 1 1
#2
On 18-Feb-2014 22:08:38 Meinfelder, Florian wrote:
> Dear all,
>
> I am looking for a way to calculate the probability of the union of k
> independent events in R. Is there a function that takes a k-dimensional
> probability vector as input and returns p(A_1 U A_2 U...U A_k)?
>
> Thanks,
> Floria
Hi
for print.trellis you could make a function and supply the plots as
arguments ?list and then print them
There are various ways of doing it and you could have a matrix as an
argument with the proportions and access them
Regards
Duncan
-Original Message-
From: r-help-boun...@r-project.
Frede
thanks for the help. I'll give it a try
best
Lou Schreier
> On Feb 18, 2014, at 1:22 PM, Frede Aakmann Tøgersen wrote:
>
> Perhaps this in package:
>
> scatterplot3d package:scatterplot3d R Documentation
>
> 3D Scatter Plot
>
> Description:
>
> Plots a thre
Dear all,
I am looking for a way to calculate the probability of the union of k
independent events in R. Is there a function that takes a k-dimensional
probability vector as input and returns p(A_1 U A_2 U...U A_k)?
Thanks,
Florian
___
Dr. Flor
Hopefully good suggestions from our side.
Well, is it not feasible to point people to man pages that thinks _list_ is the
same as _c_ , so tomorrow I will file a bug (what is that called for
instructions) report (if I can remember).
Yours sincerely / Med venlig hilsen
Frede Aakmann Tøgersen
Thanks David, that's a great improvement.
On Tue, Feb 18, 2014 at 12:36 PM, David Carlson wrote:
> What you have can work, but it will be hard to maintain and
> debug. Easier to follow is
>
> > cond1 <- mydata$FNAME_TOKEN_COUNT > 3
> > cond2 <- mydata$FNAME_LENGTH > 55
> > cond3 <- regexpr("9",
For an exploratory look at the data, the package rgl (that uses
OpenGL) is great.
On 19 February 2014 05:20, Louis Schreierlc wrote:
> Hi
> I have a large data set that consists of a time series of data captured from
> a device that has three dimensions. I'd like to plot the data such that I
Thanks for suggestions! I am just getting familiarized with these "grid"
and "extra" businesses! Now I understand a bit better to find and scour
through man/help pages :)
santosh
On Tue, Feb 18, 2014 at 1:00 PM, Frede Aakmann Tøgersen wrote:
> Sorry this should of course be for all on R-help.
>
Perhaps this in package:
scatterplot3d package:scatterplot3d R Documentation
3D Scatter Plot
Description:
Plots a three dimensional (3D) point cloud.
Usage:
scatterplot3d(x, y=NULL, z=NULL, color=par("col"), pch=par("pch"),
main=NULL, sub=NULL, xlim=NULL
Sorry this should of course be for all on R-help.
Yours sincerely / Med venlig hilsen
Frede Aakmann Tøgersen
Specialist, M.Sc., Ph.D.
Plant Performance & Modeling
Technology & Service Solutions
T +45 9730 5135
M +45 2547 6050
fr...@vestas.com
http://www.vestas.com
Company reg. name: Vestas Win
Well to be in control:
Please read carefully the help to grid.layout
Create a Grid Layout
Description:
This function returns a Grid layout, which describes a subdivision
of a rectangular region.
Usage:
grid.layout(nrow = 1, ncol = 1,
widths = unit(rep(1, ncol), "nu
What you have can work, but it will be hard to maintain and
debug. Easier to follow is
> cond1 <- mydata$FNAME_TOKEN_COUNT > 3
> cond2 <- mydata$FNAME_LENGTH > 55
> cond3 <- regexpr("9", mydata$FNAME_PATTERN) == 0
> mydata$FNAME_SUSPECT <- apply(cbind(cond1, cond2, cond3), 1,
any)
> mydata$FNAME_
Yes of course (why didn't you yourself read the man/help pages? That's the way
I learned R).
If you see the help to grid.arrange:
arrangeGrob package:gridExtra R Documentation
arrangeGrob
Description:
arrange ggplot2, lattice, and grobs on a page
Usage:
Hi,
I don't know whether the 'mydata" object was updated or not before you run the
table.
mydata <- within(mydata,FNAME_SUSPECT <- FNAME_TOKEN_COUNT
>10|FNAME_LENGTH>45|regexpr("9",FNAME_PATTERN)==0)
table(mydata$FNAME_SUSPECT)
#
#FALSE
# 50
Now, your second condition (reply to Davi
I forgot to add.. printltrellis seems to take in only one trellis object at
a time.. so.. I think I would need to use a loop for varying the column/row
indices, etc...
Is that the only way (other than grid.arrange)? Is column/row/page control
possible through grid.arrange..?
On Tue, Feb 18, 2014
Thanks for the suggestion..
Is there a way I can include arguments to the *grid.arrange* function?
I tried in your example something like...
gridar <- function(x,ncol=2,...) grid.arrange(x,...)
do.call(gridar, lattice.plots);
I could not make it work when I try to control number of columns/rows a
Hi
I have a large data set that consists of a time series of data captured from a
device that has three dimensions. I'd like to plot the data such that I have a
time series of a point, say, in 3 space. So far the documentation I've seen on
3d graphics (wireframes, topos, etc) don't seem to be
Ahh, I was specifying the second argument FALSE incorrectly. Works now as:
mydata$FNAME_SUSPECT <- ifelse(mydata$FNAME_TOKEN_COUNT > 3, TRUE,
ifelse(mydata$FNAME_LENGTH > 55, TRUE,
ifelse(regexpr("9", mydata$FNAME_PATTERN) == 0, TRUE,
FALSE
Have you seen the examples at
docs.ggplot2.org/0.9.3.1/geom_errorbar.html
?
On Feb 18, 2014, at 10:57, "Alzahrani, Ahmad K A" wrote:
> Hi All,
>
> Can anyone show me how to add a error bar to my graphs. I am currently using
> this code
>
> g<-ggplot(means,aes(x=variable,y=value))
>> g<-g+g
This is my first time with ifelse, but I've tried:
mydata$FNAME_SUSPECT <- ifelse(mydata$FNAME_TOKEN_COUNT > 3, TRUE, FALSE,
ifelse(mydata$FNAME_LENGTH > 35, TRUE, FALSE,
ifelse(regexpr("9", mydata$FNAME_PATTERN) > 0, TRUE,
FALSE
)
Not always true, but it is in this case:
?ifelse
David C
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Jeff Johnson
Sent: Tuesday, February 18, 2014 11:24 AM
To: R help
Subject: [R] Updating a data frame based on if condition
I
On Tue, 18 Feb 2014, Karki, Amrit B wrote:
Would you mind to help me how to extract coefficients of significant
variables using ctree model? How to implement the model like logistic
and others. Thank you.
ctree() is a nonparametric model and there are no "significant
coefficients". Some vari
On Feb 18, 2014, at 9:47 AM, Amanuel Tekleab wrote:
> Hi all,
>
> I am a facing a convergence problem when I test for variability of a slope
> among groups in lme.
> a) How do I know how many iterations the program is running?
> b) How do I increase the # of iterations
> c) Do I include the comm
Hi all,
I am a facing a convergence problem when I test for variability of a slope
among groups in lme.
a) How do I know how many iterations the program is running?
b) How do I increase the # of iterations
c) Do I include the command to increase iterations in my equation?
Thanks for your help!
Am
The script works nicely, Arun. You were right, I pasted code from email
instead of Rhelp and didn't reformat properly in R. I appreciate your time
with this!
-Original Message-
It seems like part of the next line is also being run (in the end 'colnames').
For e.g.
res2 <- within(as.dat
Hi All,
Can anyone show me how to add a error bar to my graphs. I am currently using
this code
g<-ggplot(means,aes(x=variable,y=value))
> g<-g+geom_bar(stat="identity")+facet_wrap(~Site+Season)
> g
Thanks,
Akaalz
[[alternative HTML version deleted]]
__
Would you mind to help me how to extract coefficients of significant variables
using ctree model? How to implement the model like logistic and others. Thank
you.
Amrit
This electronic message may contain information that is confidential and/or
legally privilege
Thanks for all your suggestions..
santosh
On Tue, Feb 18, 2014 at 4:11 AM, Duncan Mackay wrote:
> Hi Santosh
>
> for more control on size and position
>
> ?lattice::print.trellis
>
> Duncan
>
> Duncan Mackay
> Department of Agronomy and Soil Science
> University of New England
> Armidale NSW 23
I have a subset of data that I have identified as "suspect" (for example,
the first name has excessive spaces, is longer than 35 characters or has a
number).
What I want to do is update the FNAME_SUSPECT field in "mydata" to TRUE if
any of those conditions are met.
Here's my data:
> dput(mydata)
On Fri, 2014-02-14 at 17:47 -0800, David Winsemius wrote:
> On Feb 13, 2014, at 11:36 AM, Ross Boylan wrote:
>
> > If R changes from 3.0.1 to 3.0.2, or more generally from m.n.p to m.n.q,
> > is it necessary to refresh libraries to match the version, e.g., with
> > update.packages(checkBuilt=TRU
Thanks everyone.
For 5 point moving average,
filter(x, side=2, filter=rep(1/5, 5)), versus,
filter(x, side=2, filter=rep(1, 5)
Do they have the same effect, since the total needs to be 1.
Gabor & Rui: I am aware of the zoo package, I did not want to install a
package for one function. Same reas
A.K., thanks for your reply. I'm getting an error at res2:
Error: unexpected symbol in "res2 <- within(as.data.frame(res1),`Count of Case
ID` <- dcast(FLSAdata_melt, ViolationDesc + ReasonDesc ~ variable, length,
margins=TRUE)[,3])[,c(4,1:3)] colnames"
>
I've tried a couple of modifications, b
You might modify this function which computes Cramer's V using
the assocstats() function in package vcd:
catcor <- function(x) {
require(vcd)
nc <- ncol(x)
v <- expand.grid(1:nc, 1:nc)
matrix(mapply(function(i1, i2) assocstats(table(x[,i1],
x[,i2]))
Hi Santosh
for more control on size and position
?lattice::print.trellis
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mac...@northnet.com.au
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bo
Hi
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of R Novice
> Sent: Tuesday, February 18, 2014 9:44 AM
> To: r-help@r-project.org
> Subject: [R] converting time data in R
>
> Respected R veterans and experts,
>
>
>
> I have a
Dear all,
Please, is there a way in R to calculate association statistics over more than
2 categorical (binary) variables?
I mean something similar what
cor(my.dataframe)
does for continuous variables, i.e. to have a matrix of statistics and/or
p-values as an output.
Many thanks!
Zdenek
- -
Hi
tt<-ts((1:(4*12)), frequency=12)
tapply(tt,cycle(tt), mean)
However you could find it yourself more quickly just browsing docs as I did.
Regards
Petr
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Victor
> Sent: Tuesda
I have the following (monthly) ts time-series:
> t
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2002 5.3 9.4 12.1 14.4 17.9 23.5 24.3 23.6 19.3 16.3 13.9 9.0
2003 7.5 5.4 10.4 13.3 19.9 25.6 26.2 27.6 20.6 15.5 12.5 8.0
2004 6.3 7.8 9.6 13.6 16.5 22.0 24.3 24.6 21.3 18.
Respected R veterans and experts,
I have a column representing time in a data frame in R.
when I call the str() function on the column it says something like this
>str(df2$Time)
Factor w/ 1441 levels "","00:01","00:02","00:03",..: 1086 1096 and so on
The thing is I want to conver this c
Respect R veterans,
I am just starting with R and I am having a difficulty in plotting a
rule based decision tree in R.
The problem is, I already have an output from hadoop MapReduce and it is in
the form of a simple text file. Now I want to use this output from Hadoop
and represent it graphi
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