gmane.comp.lang.r.gr

ploting a sequence of string dates

stef salvez — 2012-06-02T15:36:27

Dear all, I have a panel data across countries and individuals. For
each country I have a sequence of dates For France for example
22/02/09
 22/03/09
19/04/09
17/05/09
12/07/09
 09/08/09
06/09/09
04/10/09
 01/11/09
29/11/09
27/12/09
31/01/10

For Italy
14/06/09
12/07/09
09/08/09
06/09/09
04/10/09
 01/11/09
 29/11/09
27/12/09
31/01/10
 28/02/10
 28/03/10

I have these sequence of dates in an excel file. The structure of the
excel file is
France              Italy                        ......
22/02/09       14/06/09
 22/03/09 12/7/2009
19/04/09   9/8/2009
17/05/09         6/9/2009
12/7/20094/10/2009
 09/08/09  01/11/09
6/9/2009        29/11/09
4/10/200927/12/09
 01/11/09   31/01/10
29/11/09       28/02/10
27/12/09       28/03/10
31/01/10


and so forth


 And I want to “plot” (in one graph) these sequences of dates in the
sense that I want to have a”visual” contact of the behavior of the
series of dates because as you can see I do not have the same start
date and end date and the next date

Advanced Bayesian Classifiers

Bojan Mihaljevic — 2012-03-08T11:25:18

Dear members of the gR community,

I am about to start working on classification on neuroscience data and I am
wondering if anyone is aware of plans to implement some advanced Bayesian
classifiers in R. Namely: semi-naive Bayes, tree-augmented or k-dependence.
Any additions to the naive Bayes functionalities available in several
packages (e.g. e1071, klaR), such as bayesian approaches to the estimation
of parameters, would be interesting to me.

Thanks a lot,

Modelling data at two separate locations

Stephen Clark — 2012-01-18T09:12:31

Hello,

I am looking for advice on what kind of models I can use for my data.

The dependent (y) variable are count data (poisson) and are located at an irregular pattern. The independent data (x1, x2, x3, ...) are based on regions (closed polygons) (but could be represented at the centroids of these regions if this helped, but these centroid will not correspond to the location of the y's). My problem is that I do not have an exact (other than geographical) data match between the y's and x's. In particular I have about 8,000 y observation points and 20,000 x regions.

What I would like to examine is how the proximity of various regions (via their x1, x2, x3, ... values) influenced the value of my y variable. I have looked at some common spatial models (SEM, SAR and GWR) but they all require the y and x data to be observed at the same locations. What I have done is to aggregate my y counts to the region geography, so that I have for each region a y aggregated count and the corresponding x1, x2, x3, ... , but

COMPUTING FOR GRAPHICAL MODELS, 16 December 2011, RSS,London

Spencer, Neil — 2011-11-11T17:00:08

Computing for Graphical Models

16 December 2011

Royal Statistical Society,  London

One day meeting of the Statistical Computing Section



Details and registration at

http://tinyurl.com/RSS16December



Graphical models has expanded substantially over the past decade with the analysis of large data sets, in particular from bioinformatics and retail, with developments of inference in relation to causality, and with applications involving complex data structures. The ubiquitous nature of conditional independence has meant these models are applied in many different subjects. Computing for graphical models has always been difficult but recently user friendly open source software has become available.



This meeting provides a platform to review the current provision and to elucidate remaining challenges in making graphical modelling more accessible to the wider scientific community.



Contact: joe.whittaker< at >lancaster.ac.uk<mailto:joe.whittaker< at >lancaster.ac.uk>

=============================================

Re: succession graphic

Konis Kjell — 2011-04-21T07:47:52

This list is for discussion of graphical models. You'll have better luck asking your question on R help.

Kjell


On Apr 20, 2011, at 10:20 PM, David Bird wrote:

succession graphic

David Bird — 2011-04-20T20:20:57

I would like to produce charts of phytoplankton biomass changes 
through time. Each species has a line, and the biomass varies in 
mirror form along the line for each species along the X time axis. 
Here is an example of what I'd like to do: 
http://www.er.uqam.ca/nobel/r30240/Succession.jpg

Thanks
David Bird
UQAM, Montreal

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Re: mai in par

Konis Kjell — 2011-02-24T20:53:09

This list is for graphical models - not graphics. You should ask questions
like this on the R-help list. Regarding your question, you should read the
man page for par carefully. All of the various methods for setting the
plot margins are documented there.
Kjell

On 2/23/11 8:10 PM, "Chun Wang" <wangchun.mjun< at >gmail.com> wrote:

mai in par

Chun Wang — 2011-02-23T19:10:47

Dear R users,

In using par, it seems one can adjust the plot location using mai. but what
is the unit for the number used in mai? Can I normalize it to the interval
(0,1)? Thank you very much for any help in advance.

with best regards,

Chun

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How to add a title to represent four different plot in lmfunction

FMH — 2010-02-25T16:01:23

Dear All,

A linear regression model could be fitted by using lm function and the plot function can be used to check the assumptions of the model. The example is as followed.

require(graphics)
## Annette Dobson (1990) "An Introduction to Generalized Linear Models".
## Page 9: Plant Weight Data.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2,10,20, labels=c("Ctl","Trt"))
weight <- c(ctl, trt)
anova(lm.D9 <- lm(weight ~ group))
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(lm.D9, las = 1)     

Could someone advice me the way to add a single title either at the above or bottom of these 4 plots, entitled "The verification of model assumtion via four different plots" ?

Thanks
Fir

Color intervals in image.plot function

FMH — 2010-02-08T17:45:06

Hi,

The script below is my current coding in order to produce a contour plot of temperature across altitude and time. In my case, time,altitude and temperature are represented by x, y and z variables.


##############################################
Brazilan.Pallete <- colorRampPalette(c("blue","green","yellow","red"))
image.plot(x, y, z, col = Brazilan.Pallete(50))
contour(x,y,z, levels = seq(1, 40, by = 1), add = TRUE, col = 'peru')
##############################################



The plot worked fine but i found difficult to fix the interval of the color corresponding to z value. In my case, the range of z values is between 1 and 40 and  i'd like to fix the color in the image correspoding to four sub-intervals of z values. For instance:

1. 1 < z < 10 : blue
2. 11 < z < 20: green
3. 21 < z < 30: yellow
4. 31 < z < 40 : red.

I did't find a suitable code to do this. Could someone please give an advice on this matter?

Thank you.
Fir

meta-analysis

Lu, Kevin — 2010-01-27T07:12:16

To someone who could help me:
 
I am a PhD student, working in the Wageningen University, the
Netherlands.  I am now using metafor package to do meta-analysis. 
 
Since there are few studies conducted on my topic, I have to combine the
results from 5 case-control studies and 1 cohort study. But I do not
know how to do it.
 
I tried this way, first, use the escalc (measure="OR", ai, bi, ci, gi)
to calculate the effect estimate of yi and variance of vi.
 
I could extract the RR and 95% confidence interval from the cohort study
to get the point estimate of LnRR and SE.
 
but I can not combine the results from case-control study and the
results from cohort study due to the difference of vi and SE.
 
For example, if I use rma(yi, vi, data,), I can not get vi (variance)
for the cohort study. I can only get SE for cohort study. How could
solve it?
 
Thanks for your time.
 
Best wishes,
 
Yingchang (Kevin) Lu

PhD student,

Division of Human Nutrition

Wageningen University

Tel: 0031-317-485300

Fax:0031-317-482782

color index in image function

FMH — 2009-09-03T17:28:26

Dear All,

I was looking for the color index in image function, such as from topo.colors and etc. but still never found it. For instance, from the help menu.


###########################################
# Volcano data visualized as matrix. Need to transpose and flip
# matrix horizontally.
image(t(volcano)[ncol(volcano):1,])

# A prettier display of the volcano
x <- 10*(1:nrow(volcano))
y <- 10*(1:ncol(volcano))
image(x, y, volcano, col = terrain.colors(100), axes = FALSE)
contour(x, y, volcano, levels = seq(90, 200, by = 5),
        add = TRUE, col = "peru")
axis(1, at = seq(100, 800, by = 100))
axis(2, at = seq(100, 600, by = 100))
box()
title(main = "Maunga Whau Volcano", font.main = 4)
#########################################


Could someone please help me to extract this color index?

Thank you
Fir

contour plot

FMH — 2009-08-20T15:59:00

Hi,

Could someone give some ideas on plotting a contour by using geoR package, please?

Thank you

Kagba


      
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contour plot

FMH — 2009-08-20T15:59:00

Hi,

Could someone give some ideas on plotting a contour by using geoR package, please?

Thank you

Kagba


      
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