Hi group,
I am creating two density plots as shown in the code below:
x1 <- c(1,4,5,3,2,3,4,5,6,5,4,3,2,1,1,1,2,3)
x2 <- c(1,4,5,3,5,7,4,5,6,1,1,1,2,1,1,1,2,3)
plot(density(x1, na.rm = TRUE))
polygon(density(x2, na.rm = TRUE), border="blue")
How can I determine the area that is covered between t
rcom has its own mailing list.
Please subscribe to this list at
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and post your question there.
On 9/21/2010 2:53 PM, Alex Bird wrote:
>
> Hello there,
>
> I started to use rcom package and there were no problems until I tried to
> call some external function (method) which ret
On Sep 22, 2010, at 4:54 PM, Ralf B wrote:
Hi group,
I am creating two density plots as shown in the code below:
x1 <- c(1,4,5,3,2,3,4,5,6,5,4,3,2,1,1,1,2,3)
x2 <- c(1,4,5,3,5,7,4,5,6,1,1,1,2,1,1,1,2,3)
plot(density(x1, na.rm = TRUE))
polygon(density(x2, na.rm = TRUE), border="blue")
How can
Tena koe Ralf
If you save the results of density()
x1Den <- density(x1)
you get the x and y values of the line which is plotted. Similarly for x2 -
you can then use these to shade the joint area and find the area. Tinkering
with the arguments of density to make the x values for each the same
Indeed! That is what was confusing me too. Glad you figured it out.
-Teresa
On Wed, Sep 22, 2010 at 7:31 AM, whoppitt [via R] <
ml-node+2550409-1571116512-138...@n4.nabble.com
> wrote:
> I think I've figured it out, the AIC column is the IMPROVEMENT in AIC
> compared to the null model. So bigger
Thanks for that terrific post Bill - I learnt a lot.
One question, should this line
d <- within(d, interaction(g1, g2, drop=TRUE))
be this ?
d <- within(d, g1g2 <- interaction(g1, g2, drop=TRUE))
Michael
On 23 September 2010 03:50, William Dunlap wrote:
>> -Original Message-
>> From:
On Wed, 22 Sep 2010, ivo welch wrote:
dear R experts: I am writing my own little newey-west standard error
function, with heteroskedasticity and arbitrary x period
autocorrelation corrections. including my function in this post here
may help others searching for something similar. it is worki
Hello, i am trying to import the csv file into R .
i have a file saved as csv in my desktop.
My laptop is Window vista, version R is 2.10.1.
then i used the code
> Q<-read.csv("Q.csv",header=TRUE)
then my error is
Error in file(file, "rt") : cannot open the connection
In addition: Warning me
You are not in the correct directory. Use
read.csv(file.choose())
so that you can interactively choose the correct location.
On Wed, Sep 22, 2010 at 8:24 PM, sisxy wrote:
>
> Hello, i am trying to import the csv file into R .
> i have a file saved as csv in my desktop.
> My laptop is Window vi
On 09/22/2010 07:24 PM, sisxy wrote:
Hello, i am trying to import the csv file into R .
i have a file saved as csv in my desktop.
My laptop is Window vista, version R is 2.10.1.
then i used the code
Q<-read.csv("Q.csv",header=TRUE)
R will search in its working directory for Q.csv.
What is t
What I want is different colors corresponding to the different names, which
are the colors' names.
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> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of sisxy
> Sent: Wednesday, September 22, 2010 5:25 PM
> To: r-help@r-project.org
> Subject: [R] import csv file problem
>
>
> Hello, i am trying to import the csv file into R .
>
?par
See col.lab, col.main, col.sub, &c.
To see what colours are available you can use
colours()
(or colors() if you don't speak English).
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of tooblue
Sent: Thursday, 23 September 201
Hi Alfredo,
Short answer is no. As en example, consider the following:
# example
require(boot)
x <- c(4, 4, 4, 3, 2, 4, 4, 3, 6, 2)
res <- boot(x, function(v, index) mean(v[index]), R = 1000)
res
str(res)
More information can be found under ?boot (after loaging the boot package)
as well a
On Sep 22, 2010, at 12:24 PM, alfredo wrote:
Hi There,
Just a question regarding the function that is specified to boot (I
have
read the help, the manual and online examples.). The
description of
boot says that the second argument of "statistic" (non parametric
bootstrap)
must
Hello,
I'm using plot.survfit to plot cumulative incidence of an event.
Essentially, my code boils down to:
cox <-coxph(Surv(EVINF,STATUS) ~ strata(TREAT) + covariates, data=dat)
surv <- survfit(cox)
plot(surv,mark.time=F,fun="event")
Follow-up time extends to 54 weeks, but the last e
R-helpers:
If I want to pass a character name of a function TO a function, and then
have that function executed, how would I do this? I want
an arbitrary version of the following, where any function can be used (e.g.
I don't want the if-then statement here):
apply_some_function <- function(data,
Hi,
I think the easiest way is with match.fun(). For instance:
apply_some_function <- function(data, function_name) {
FUN <- match.fun(function_name)
FUN(data)
}
> apply_some_function(1:10,"mean")
[1] 5.5
> apply_some_function(1:10,"min")
[1] 1
Cheers,
Josh
On Wed, Sep 22, 2010 at 4:06 P
One possibility:
R> f = function(x, f) eval(as.call(list(as.name(f), x)))
R> f(1:10, "mean")
[1] 5.5
R> f(1:10, "max")
[1] 10
Andy
From: Jonathan Greenberg
> R-helpers:
>
> If I want to pass a character name of a function TO a
> function, and then
> have that function executed, how would I do
Dear R Group
I am not sure if this is the right forum to raise this query, but i would
rather give it a try and aim for reaching the right person who might be a
part of this group who can help.
I have a query on interpretation of PartialPlot in package randomForest.
In my earlier queries in thi
On Sep 22, 2010, at 8:15 PM, Krambrink, Amy M wrote:
Hello,
I'm using plot.survfit to plot cumulative incidence of an event.
Essentially, my code boils down to:
cox <-coxph(Surv(EVINF,STATUS) ~ strata(TREAT) + covariates, data=dat)
surv <- survfit(cox)
plot(surv,mark.time=F,fun="event")
Thanks Petr for your input. As you correctly said to make the function
vectorize, I have done it and it is working fine:
> fff=Vectorize(function(x,y) {
+AA <- sign(x)
+BB <- sign(y)
+CC <- abs(y)
+DD1
Hi,
I am trying to fit a logarithmic trendline to a scatterplot of a
species accumulation curve. I've tried abline, lines, curve and
scatter.smooth but none of these work.
Can anyone help please,
Kyran
__
R-help@r-project.org mailing list
https://stat
Thanks! Will post there.
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Hi All,
I am struggling with the task of converting some MODIS remotes sensed
image data in HDF5 format to ASCII format. I have found oblique
references to the HDF format in the help files for the packages hdf5,
RnetCDF, and ncdf, but nothing that appears to read in an HDF format
file and p
Are there any packages that do non-linear integer otimization? Looked at
lpSolve but i'm pretty sure it only works with linear programming and not
non-linear, tried "L-BFGS-B" optim after flooring all my params, works
somewhat but seems really inefficient. Anything else I should look at?
--
Vie
it's work by using the read.csv(file.choose())...
thanks ^^
as a beginner , what kind of the material should i learn ??i know the R
tutorial actually , the code i saw from previous topic in the forum, for a
code like Q<-read.csv(file="Q.csv") ...i not really understand Q in front
for the read ,
Erik Iverson-3 wrote:
>
> On 09/22/2010 07:24 PM, sisxy wrote:
>>
>>
>
> R will search in its working directory for Q.csv.
>
> What is the working directory, use getwd() to
> find out.
>
>
>
Thanks , by using the getwd() , i found the place that i should save in my
laptop... then after i
Dear colleagues,
I have another question, which, I think cannot be answered easily by the
manual. What is the effect of including both nodefactor("Gender") and
nodematch("Gender",diff=TRUE)) for the same variable in the model? Judging from
the output (please see below), you cant have estimates
Hello Kyran,
Some more details of your data would be helpful. For example, is it
cumulative species count over time ?
Michael
On 23 September 2010 15:05, Kyran Staunton wrote:
> Hi,
>
> I am trying to fit a logarithmic trendline to a scatterplot of a
> species accumulation curve. I've tried abl
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