Displaying 20 results from an estimated 1000 matches similar to: "Problems to get a ctree plot in a file via jpeg/png"
2006 Mar 01
1
Problems to get a ctree plot (library party) in a file via jpeg/png
Hello All,
I am using library "party" and I have found a curious/strange behaviour when
trying to save the output of a ctree in a file via jpeg/png command.
If you use:
################
library(party)
airq <- subset(airquality, !is.na(Ozone))
airct <- ctree(Ozone ~ ., data = airq)
plot(airct, terminal_panel = node_boxplot, drop_terminal = FALSE)
###############
you get a
2010 Jul 09
2
Ctree Question
Hello,
I've been using ctree and have developed a 55 node - 28 terminal solution.
As can be imagined, the plot is difficult to travel down each of the major
branches.
I've read the help files for ctree I saw where terminal nodes can be color
coded.
plot(airct, type = "simple")
> plot(airct, terminal_panel = node_boxplot(airct, col = "blue", + fill =
hsv(2/3,
2012 Jan 06
1
Please help!! How do I set graphical parameters for ploting ctree()
I'm trying to understand how to set graphical parameters for trees created with the party package. For example take the following code:
library(party)
data(airquality)
airq <- subset(airquality, !is.na(Ozone))
airct <- ctree(Ozone ~ ., data = airq,
controls = ctree_control(maxsurrogate = 3))
plot(airct)
My problem is, I've got a ctree that has
2011 Jul 31
1
R: print and ctree
I have run the ctree function, and my dependent variable is broken into 3
categories: low cost, moderate cost and high cost.
When i plot the results (eg. using plot(test.ct)), the plot shows, at the
very bottom of each node, the probability of falling into each cost
category.
When i print the actual results (eg. using print(test.ct)), i get all of the
backup
2006 Jul 14
1
party - ctree() - terminal nodes reference for every obs
Dear R.Users,
using ctree() (from "party" library) on a data.frame, I want to append a
column with the references for the groups/segments detected. While these
nodes are easy readable in output, I need a vector for my obs.
Hints?
Cheers
--
Daniele Medri
2011 Sep 08
1
Need formatting help - ctree - plot.party - node_hist
Hi,
I am trying to get the terminal nodes of a plot of a ctree object to look nice.
Using the iris data I have:
library(party)
mtree <- ctree(Species ~ ., data=iris)
plot(mtree,terminal_panel=node_barplot(mtree))
The terminal nodes don't display the species names because the names
are displayed horizontally. ?I would like to reduce the size of the
labels and make the terminal nodes
2008 Mar 07
0
How to do a time-stratified case-crossover analysis for air pollution data?
Dear Experts,
I am trying to do a time-stratified case-crossover analysis on air
pollution data and number of myocardial infarctions. In order to avoid
model selection bias, I started with a simple simulation.
I'm still not sure if my simulation is right. But the results I get from
the "ts-case-crossover" are much more variable than those from a glm.
Is this:
a. Due to
2008 Mar 07
0
How to do a time-stratified case-crossover analysis for air pollution data? Unformatted text-version, with an additional note
Dear Experts,
I am trying to do a time-stratified case-crossover analysis on air pollution data and number of myocardial infarctions. In order to avoid model selection bias, I started with a simple simulation.
I'm still not sure if my simulation is right. But the results I get from the "ts-case-crossover" are much more variable than those from a glm.
Is this:
a. Due to the simple
2007 Apr 19
1
"tree-ID" in any segmentation package available?
Dear R-helpers,
I am looking for a segmentation package that gives some "tree identifier"
as output for every observation in the data set (my response variable is
binary). I have skimmed through "rpart", "ada" and "adabag": The output
"trees" gives you the formula, but I have to run several thousand
segmentations on different data sets and it
2007 Oct 25
0
adjust labels in plot:terminal_panel {party}
Hi List,
I am unsuccessfully trying to beautify barplot outputs from ctree. For
example I would like to rotate x-axis lables and resize/change
font/type.
mtree <- ctree(ME ~ ., data = mammoexp)
plot(mtree,terminal_panel=node_barplot(mtree,col="black",fill=NULL,
beside=TRUE, ylines=NULL, widths=1,gap=NULL,
reverse=FALSE,id=FALSE))
2012 Nov 14
3
ctree
Hello,
I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of
my 2 groups. (see picture)
Unfortunately I need a larger scale to read the exact prediction of my
groups to get the specificity and sensitivity. I tried to change the scale
with "axis" but it didn't work, my guess because it's not a normal graph
with x and y axis.
Has someone an idea
2007 Sep 16
1
Identifying objects from a data set
Hello
Given the following data for a data set called airquality. To identify the nature of the objects from the data set airquality example "Ozone" would it be best to use the command is. like is.character(airquality$Ozone) ....... I tried attributes(airquality$Ozone) but it came up null. Would there be a better way to identify these objects.
Thanking you in advance for your
2008 Mar 24
2
Newbie help with Sweave
I think I've gotten my Emacs/Sweave/R system set up correctly, thanks to
Vincent and Jim, but I haven't been successful getting my first document
produced. I'm trying to use one of Friedrich Leisch's examples,
http://www.ci.tuwien.ac.at/~leisch/Sweave/example-1.Snw. I cut and
pasted the text into a document sweaveexample.Rnw in Emacs. It seemed to
be processed successfully with R:
2017 Jun 26
0
Odd behaviour in within.list() when deleting 2+ variables
This seems to be due to changes made by Martin Maechler in 2008. Presumably this fixed something, but it escapes my memory.
However, it seems to have broken the equivalence between within.list and within.data.frame, so now
within.list <- within.data.frame
does not suffice.
The crux of the matter seems to be that both the following constructions work for data frames
> aq <-
2017 Jun 26
0
Odd behaviour in within.list() when deleting 2+ variables
> On 26 Jun 2017, at 19:04 , Martin Maechler <maechler at stat.math.ethz.ch> wrote:
>
>>>>>> peter dalgaard <pdalgd at gmail.com>
>>>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes:
>
>> This seems to be due to changes made by Martin Maechler in
>> 2008. Presumably this fixed something, but it escapes my
>> memory.
>
2011 Nov 16
0
problem to tunning RandomForest, an unexpected result
Dear Researches,
I am using RF (in regression way) for analize several metrics extract from
image. I am tuning RF setting a loop using different range of mtry, tree
and nodesize using the lower value of MSE-OOB
mtry from 1 to 5
nodesize from1 to 10
tree from 1 to 500
using this paper as refery
Palmer, D. S., O'Boyle, N. M., Glen, R. C., & Mitchell, J. B. O. (2007).
Random Forest Models
1997 Apr 29
0
R-alpha: frametools v.0.0000001
The following three functions are designed to make manipulation of
dataframes easier. I won't write detailed docs just now, but if you
follow the example below, you should get the general picture. Comments
are welcome, esp. re. naming conventions.
Note that these functions are definitely not portable to S because
they rely on R's scoping rules. Not that difficult to fix, though: The
nm
2006 Aug 04
1
Questions about sweave...
Evening all:
I'm taking a little time to experiment with R, Sweave, and Miktex/LaTex but
I've run up against some problems and -well- I hope that there are some on
the list who might have some suggestions. This will be kind of wordy as I
will include the complete files involved as I'm just not sure what I'm
looking for. Apologies at the outset.
I created the source file
2017 Jun 26
1
Odd behaviour in within.list() when deleting 2+ variables
>>>>> "PD" == Peter Dalgaard <pdalgd at gmail.com>
>>>>> on Mon, 26 Jun 2017 20:12:38 +0200 writes:
>> On 26 Jun 2017, at 19:04 , Martin Maechler
>> <maechler at stat.math.ethz.ch> wrote:
>>
>>>>>>> peter dalgaard <pdalgd at gmail.com> on Mon, 26 Jun
2011 Dec 23
2
cast in reshape and reshape2
> library(reshape2)
> x = melt(airquality, id=c('month', 'day'))
With reshape I can cast with multiple functions:
> library(reshape)
> cast(x, month+variable~., c(mean,sd))
month variable mean sd
1 5 ozone 23.615385 22.224449
2 5 solar.r 181.296296 115.075499
3 5 wind 11.622581 3.531450
4 5 temp 65.548387