Re: [R] plotting over a raster image with control over location and orientation

2015-08-22 Thread ravi
Hi,I havetried to find a simple way for my overlay plot. A simple summary of 
myapproach would to first plot the raster image and then overlay the second pot 
with :
par(new=TRUE,plt=c(x1,x2,y1,y2)) # not sure if the plt or usr argument should 
be used# have some difficulty in knowing the units for x1,x2,y1 and y2
plot(1:10,1:10)#justan example plot
But my problem is that I do not understand the unit conversions for graphics. 
What exactly are npc and native?Let me explain by starting with the code 
again:#Setting up the initial example raster image
library(grid)
x - y - c(-15,seq(-4*pi, 4*pi, len=27),15)
r - sqrt(outer(x^2, y^2, +))
z - cos(r^2)*exp(-r/6)
image - (z - min(z))/diff(range(z))
plot(x, y, ann=FALSE,xaxs=i, yaxs=i)
rasterImage(image,xrange[1], yrange[1],xrange[2], yrange[2],interpolate=FALSE)# 
let's say that I want to draw an overlay plot with the follwing line as x-axis
lines(c(-10,10),c(-12,-12),col=red,lwd=2)

lim-par(usr)
lim
limplt-par(plt)
limplt

#convertX(unit(0:1,npc),native)
convertX(unit(-10,native),npc)
convertX(unit(10,native),npc)
convertY(unit(-12,native),npc)
 lim-par(usr)
 lim
[1] -15  15 -15  15
 limplt-par(plt)
 limplt
[1] 0.09132251 0.95322506 0.1800 0.85529412
 
 #convertX(unit(0:1,npc),native)
 convertX(unit(-10,native),npc)
[1] -0.0116009280742459npc
 convertX(unit(10,native),npc)
[1] 0.0116009280742459npc
 convertY(unit(-12,native),npc)
[1] 1.02205882352941npc


These converted values and the values for the limplt variable do not seem to be 
in agreement. How do I convert, for example, the point (10,-12) to npc units?

I hope that I have explained my problem sufficiently well. If I can get help 
with an approach involving viewports also, I would be grateful for any help 
that I can get.
Thanks,
Ravi

  From: ravi rv...@yahoo.se
 To: R-help r-help@r-project.org 
 Sent: Friday, 21 August 2015, 16:30
 Subject: plotting over a raster image with control over location and 
orientation
   
Hi,I would like to get some help in plotting over an image. I have a png image 
over which I would like to have a plot. I would like to be able to control the 
location, area and orientation of the plot on the image.
I have taken help from the following references 
:http://journal.r-project.org/archive/2011-1/RJournal_2011-1_Murrell.pdfhttp://stackoverflow.com/questions/12918367/in-r-how-to-plot-with-a-png-as-background
In order to give a reproducible example, I set up my image with the help of 
some code from the the first reference above.

#Setting up the initial example raster image
x - y - seq(-4*pi, 4*pi, len=27)
r - sqrt(outer(x^2, y^2, +))
z - cos(r^2)*exp(-r/6)
image - (z - min(z))/diff(range(z))
step - diff(x)[1]
xrange - range(x) + c(-step/2, step/2)
yrange - range(y) + c(-step/2, step/2)
plot(x, y, ann=FALSE,xlim=xrange, ylim=yrange,xaxs=i, yaxs=i)
rasterImage(image,xrange[1], yrange[1],xrange[2], yrange[2],interpolate=FALSE)

# the explanation of my problem starts here
# First, I want to mark out a particular line
lines(c(10,10.5),c(-10.5,10),col=red,lwd=2)
#In my problem, I have to locate these points graphically from the image
calpoints - locator(n=2,type='p',pch=4,col='blue',lwd=2)
# this gives the line corresponding to the x-axis for my overlay plot
# I don't want the red line on my plot
#the red line plotted earlier is just to show the example location
newOrigin-calpoints[1]
xLimit-calpoints[2]#xlimit marks the limit of the x-axis on the image# on this 
new line as the x-axis, I want to make a new plot# the y-axis should be 
perpendicular to the x-axis. I would like to be able to specify the width of 
coverage over the image#example
xx-1:10
yy-xx^2
plot(xx,yy,xlim=range(xx),ylim=range(yy),col=blue,type=b,xlab=x,ylab=square
 of x)
# I would prefer to have the image more transparent just under the x and y 
labels and axis labelsThanks, Ravi



   
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Re: [R] plotting over a raster image with control over location and orientation

2015-08-22 Thread ravi
Hi,I am sorry for not having control checked the code before posting (in my 
earlier mail). I have done this now. 
I just have a simple question now. Why is the overlay plot (the final plot ) 
not falling into the intended position (as defined by the viewport 
vp2)?#Setting up the initial example raster image
library(grid)
x - y - c(-15,seq(-4*pi, 4*pi, len=27),15)
r - sqrt(outer(x^2, y^2, +))
z - cos(r^2)*exp(-r/6)
image - (z - min(z))/diff(range(z))
xrange - range(x)
yrange - range(y)

vp1-viewport(x = unit(0.5, npc), y = unit(0.5, npc),
 width = unit(1, npc), height = unit(1, npc),
 default.units = npc, just = c(left,bottom),name=vp1)
pushViewport(vp1)
plot(x, y, ann=FALSE,xlim=xrange, ylim=yrange,xaxs=i, yaxs=i)
rasterImage(image,xrange[1], yrange[1],xrange[2], yrange[2],interpolate=FALSE)
lines(c(-10,4),c(-12,-12),col=red,lwd=2)

lim-par(usr)
lim
limplt-par(plt)
limplt
#par(new=TRUE,plt=c(limplt[1],limplt[2],limplt[3]))

#convertX(unit(0:1,npc),native)
x1-convertX(unit(-10,native),npc)
x2-convertX(unit(5,native),npc)
y1-convertY(unit(-12,native),npc)
y2-convertY(unit(3,native),npc)

wx-(5-(-10))/(15-(-15))
wy-(3-(-12))/(15-(-15))

xw-convertWidth(unit(wx,native),npc)
yw-convertHeight(unit(wy,native),npc)


vp2-viewport(x = unit(x1, npc), y = unit(y1, npc),
  width = unit(xw, npc), height = unit(yw, npc),
  default.units = npc, name=vp2)
pushViewport(vp2)
#data with a different scale
xs-seq(0.01,0.1,0.01)ys-xs^2
#points(xs,ys,type='b',col='red',newpage=FALSE)

plot(xs,ys,type='b',col='red') #fills the whole screen instead of just the 
intended viewport


Thanks,Ravi


   

  
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[R] Date as Integer

2015-08-22 Thread Shivi82
Hi All,

I am using dplyr package and need to find total bills booked grouped on a
date level however my date is integer. 
In the code below i was trying to change date format from integer. However
it is throwing an error:

no applicable method for 'group_by_' applied to an object of class
c('integer', 'numeric')

ak%%
  group_by(as.Date(pickdate),%y%m%d)%%
  summarise(Total=count(waybill))

Do i need to create a new var first changing the date and then group it or
as.Date will work as i added in dplyr.





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[R] Multrix-vector multiplication

2015-08-22 Thread Steven Yen
I had trouble with matrix multiplication when a matrix reduces to a
vector.  In the following, lines 1 and 2 work when matrices u and a are
both of order 2.
Lines 3 and 5 do not work (message is matrix not conformable) when u is (T
x 1) and a is (1 x 2) and This causes a problem for users of other matrix
languages such as Gauss and MATLAB.
Inserting line 4 makes it work, which is annoying. But, is it proper/safe
to make it work by inserting line 4? Other approaches?
Thank you!

1 a-solve(s22)%*%s21 # (2 x 2) - (2 x 2) %*% (2 x 2)
2 uc-u%*%v$a # (T x 2) - (T x 2) %*% (2 x 2)

3 a-solve(s22)%*%s21 # (1 x 2) - (1 x 1) %*% (1 x 2)
4 a-as.matrix(a) # This line makes it work. OK? Other approaches?
5 uc-u%*%v$a # (T x 1) %*% (1 x 2)

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Re: [R] Output In R

2015-08-22 Thread Marc Schwartz

 On Aug 22, 2015, at 8:49 AM, John Kane jrkrid...@inbox.com wrote:
 
 We are talking at cross-purposes here because SAS and R are radically 
 different beasts. Just about everything you did in SAS does not work / is 
 wrong / is illegal / is immoral / and possibly fattening.


Fortune candidate!

:-)

Regards,

Marc Schwartz


 
 If you have not seen it, you may find Bob Muenchen's pdf and/or the expanded 
 book R FOR SAS AND SPSS USERS ( 
 https://science.nature.nps.gov/im/datamgmt/statistics/R/documents/R_for_SAS_SPSS_users.pdf
  ) useful.
 
 It is very easy to create the data set you want. You just need to think in 
 R's somewhat twisted way.  Well if twisted my mind for the first 6 weeks that 
 I used it. 
 
 Let's say you are doing some analysis. Don't send the data to the console. 
 Instead save it in a R object (not sure if this is the correct term--I am 
 sure the purists will correct me.) 
 
 
 I am going to create a data.frame called dat1 (pretend it is your data).
 
 
 #create make-believe data
 dat1  -  data.frame(matrix( rnorm(100), ncol = 5))
 
 #Save dat1 as an R file. Handy for your work not great as a way 
 #to pass around data unless the client knows R and has R installed
 
 save( dat1, file = ~/Rjunk/ mydata.RData)
 
 #Save as a .csv file. Fast easy and can be opened in any 
 #text editor, spreadsheet or even a word processor. 
 
 write.csv(dat1, file = ~/Rjunk/ mydata.csv)
 
 
 
 To produce a Latex file and get a pdf.
 
 One starts with a  .Rnw (i.e. plain text with a .Rnw suffix)  file and then 
 compiles it.
 I used the command  Rscript -e library(knitr); knit('./Shiv1.Rnw') where 
 Shiv.Rnw was my LaTeX / knitr file.  It is easier and faster to use RStudio 
 for  this.
 
 You will probably need to install the xtable package and depending in your 
 LaTeX version you may need to install booktabs. 
 
 Start Latex file###
 \documentclass[12pt,letterpaper]{article}
 \usepackage[utf8]{inputenc}
 \usepackage{booktabs}
 \title{Magnum Opus Meum}
 \author{jrkrideau }
 \begin{document}
 
 \maketitle
 
 atable, echo=FALSE, results=asis=
 library(xtable) 
 dat1  -  data.frame(matrix( rnorm(100), ncol = 5))
 dat1.table  -  xtable(dat1)
 print(dat1.table,
 include.rownames=FALSE,
 booktabs = TRUE)
 @
 
 \end{document}
 
 End Latex file
 
 John Kane
 Kingston ON Canada
 
 
 -Original Message-
 From: shivibha...@ymail.com
 Sent: Fri, 21 Aug 2015 12:26:50 -0700 (PDT)
 To: r-help@r-project.org
 Subject: Re: [R] Output In R
 
 Thanks Jeff, this is helpful.
 The reason i am curious to know this is because I have worked for a long
 duration in SAS where in it gives us the flexibility to create a data set
 of
 our analysis and then we can easily detail out the same to the end user.
 
 In R seems like View or Sweave  or Shiny are the alternative.
 
 
 
 
 --
 View this message in context:
 http://r.789695.n4.nabble.com/Output-In-R-tp4711227p4711368.html
 Sent from the R help mailing list archive at Nabble.com.
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 
 
 FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks  orcas on your 
 desktop!
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 https://stat.ethz.ch/mailman/listinfo/r-help
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Re: [R] Output In R

2015-08-22 Thread John Kane
Hi Shivi,
A correction to my latex/knitr code.  I stupidly forgot the initial problem was 
the length of the data set.  To get it to print correctly we need to use the 
LaTeX package 'longtable'.  Clearly too many trees for me to see the forest.
Add \usepackage{longtable} to the Preamble.

#==Revised code for knitr/R
atable, echo=FALSE, results=asis=
library(xtable) 
dat1  -  data.frame(matrix( rnorm(2000), ncol = 5))
dat1.table  -  xtable(dat1)
print(dat1.table,tabular.environment='longtable',
floating = FALSE,
include.rownames=FALSE,
booktabs = TRUE)
@
#==end===

John Kane
Kingston ON Canada


 -Original Message-
 From: jrkrid...@inbox.com
 Sent: Sat, 22 Aug 2015 05:49:32 -0800
 To: shivibha...@ymail.com, r-help@r-project.org
 Subject: Re: [R] Output In R
 
 We are talking at cross-purposes here because SAS and R are radically
 different beasts. Just about everything you did in SAS does not work / is
 wrong /i s illegal/ is immoral / and possibly fattening.
 
 If you have not seen it, you may find Bob Muenchen's pdf and/or the
 expanded book R FOR SAS AND SPSS USERS (
https://science.nature.nps.gov/im/datamgmt/statistics/R/documents/R_for_SAS_SPSS_users.pdf
 ) useful.
 
 It is very easy to create the data set you want. You just need to think
 in R's somewhat twisted way.  Well if twisted my mind for the first 6
 weeks that I used it.
 
 Let's say you are doing some analysis. Don't send the data to the
 console. Instead save it in a R object (not sure if this is the correct
 term--I am sure the purists will correct me.)
 
 
 I am going to create a data.frame called dat1 (pretend it is your data).
 
 
 #create make-believe data
 dat1  -  data.frame(matrix( rnorm(100), ncol = 5))
 
 #Save dat1 as an R file. Handy for your work not great as a way
 #to pass around data unless the client knows R and has R installed
 
 save( dat1, file = ~/Rjunk/ mydata.RData)
 
 #Save as a .csv file. Fast easy and can be opened in any
 #text editor, spreadsheet or even a word processor.
 
 write.csv(dat1, file = ~/Rjunk/ mydata.csv)
 
 
 
 To produce a Latex file and get a pdf.
 
 One starts with a  .Rnw (i.e. plain text with a .Rnw suffix)  file and
 then compiles it.
 I used the command  Rscript -e library(knitr); knit('./Shiv1.Rnw')
 where Shiv.Rnw was my LaTeX / knitr file.  It is easier and faster to use
 RStudio for  this.
 
 You will probably need to install the xtable package and depending in
 your LaTeX version you may need to install booktabs.
 
 Start Latex file###
 \documentclass[12pt,letterpaper]{article}
 \usepackage[utf8]{inputenc}
 \usepackage{booktabs}
 \title{Magnum Opus Meum}
 \author{jrkrideau }
 \begin{document}
 
 \maketitle
 
 atable, echo=FALSE, results=asis=
 library(xtable)
 dat1  -  data.frame(matrix( rnorm(100), ncol = 5))
 dat1.table  -  xtable(dat1)
 print(dat1.table,
 include.rownames=FALSE,
 booktabs = TRUE)
 @
 
 \end{document}
 
 End Latex file
 
 John Kane
 Kingston ON Canada
 
 
 -Original Message-
 From: shivibha...@ymail.com
 Sent: Fri, 21 Aug 2015 12:26:50 -0700 (PDT)
 To: r-help@r-project.org
 Subject: Re: [R] Output In R
 
 Thanks Jeff, this is helpful.
 The reason i am curious to know this is because I have worked for a long
 duration in SAS where in it gives us the flexibility to create a data
 set
 of
 our analysis and then we can easily detail out the same to the end user.
 
 In R seems like View or Sweave  or Shiny are the alternative.
 
 
 
 
 --
 View this message in context:
 http://r.789695.n4.nabble.com/Output-In-R-tp4711227p4711368.html
 Sent from the R help mailing list archive at Nabble.com.
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 
 
 FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks  orcas on
 your desktop!
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks  orcas on your 
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Re: [R] Date as Integer

2015-08-22 Thread Jeff Newmiller
Use mutate to change the date before you use group_by.

Posting incomplete fragments in your questions is usually not enough to get 
useful help with R on the internet. Please add the extra few lines of code that 
would make it reproducible [1] from now on.

[1] 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
 
---
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--- 
Sent from my phone. Please excuse my brevity.

On August 22, 2015 12:43:05 AM PDT, Shivi82 shivibha...@ymail.com wrote:
Hi All,

I am using dplyr package and need to find total bills booked grouped on
a
date level however my date is integer. 
In the code below i was trying to change date format from integer.
However
it is throwing an error:

no applicable method for 'group_by_' applied to an object of class
c('integer', 'numeric')

ak%%
  group_by(as.Date(pickdate),%y%m%d)%%
  summarise(Total=count(waybill))

Do i need to create a new var first changing the date and then group it
or
as.Date will work as i added in dplyr.





--
View this message in context:
http://r.789695.n4.nabble.com/Date-as-Integer-tp4711377.html
Sent from the R help mailing list archive at Nabble.com.

__
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http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

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Re: [R] Output In R

2015-08-22 Thread John Kane
We are talking at cross-purposes here because SAS and R are radically different 
beasts. Just about everything you did in SAS does not work / is wrong /i s 
illegal/ is immoral / and possibly fattening.

If you have not seen it, you may find Bob Muenchen's pdf and/or the expanded 
book R FOR SAS AND SPSS USERS ( 
https://science.nature.nps.gov/im/datamgmt/statistics/R/documents/R_for_SAS_SPSS_users.pdf
 ) useful.

It is very easy to create the data set you want. You just need to think in R's 
somewhat twisted way.  Well if twisted my mind for the first 6 weeks that I 
used it. 

Let's say you are doing some analysis. Don't send the data to the console. 
Instead save it in a R object (not sure if this is the correct term--I am sure 
the purists will correct me.) 


I am going to create a data.frame called dat1 (pretend it is your data).


#create make-believe data
dat1  -  data.frame(matrix( rnorm(100), ncol = 5))

#Save dat1 as an R file. Handy for your work not great as a way 
#to pass around data unless the client knows R and has R installed

save( dat1, file = ~/Rjunk/ mydata.RData)

#Save as a .csv file. Fast easy and can be opened in any 
#text editor, spreadsheet or even a word processor. 

write.csv(dat1, file = ~/Rjunk/ mydata.csv)



To produce a Latex file and get a pdf.

One starts with a  .Rnw (i.e. plain text with a .Rnw suffix)  file and then 
compiles it.
I used the command  Rscript -e library(knitr); knit('./Shiv1.Rnw') where 
Shiv.Rnw was my LaTeX / knitr file.  It is easier and faster to use RStudio for 
 this.

You will probably need to install the xtable package and depending in your 
LaTeX version you may need to install booktabs. 

Start Latex file###
\documentclass[12pt,letterpaper]{article}
\usepackage[utf8]{inputenc}
\usepackage{booktabs}
\title{Magnum Opus Meum}
\author{jrkrideau }
\begin{document}

\maketitle

atable, echo=FALSE, results=asis=
library(xtable) 
dat1  -  data.frame(matrix( rnorm(100), ncol = 5))
dat1.table  -  xtable(dat1)
print(dat1.table,
include.rownames=FALSE,
booktabs = TRUE)
@

\end{document}

End Latex file

John Kane
Kingston ON Canada


 -Original Message-
 From: shivibha...@ymail.com
 Sent: Fri, 21 Aug 2015 12:26:50 -0700 (PDT)
 To: r-help@r-project.org
 Subject: Re: [R] Output In R
 
 Thanks Jeff, this is helpful.
 The reason i am curious to know this is because I have worked for a long
 duration in SAS where in it gives us the flexibility to create a data set
 of
 our analysis and then we can easily detail out the same to the end user.
 
 In R seems like View or Sweave  or Shiny are the alternative.
 
 
 
 
 --
 View this message in context:
 http://r.789695.n4.nabble.com/Output-In-R-tp4711227p4711368.html
 Sent from the R help mailing list archive at Nabble.com.
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks  orcas on your 
desktop!

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Re: [R] Multrix-vector multiplication

2015-08-22 Thread Jeff Newmiller
The actual types of data you have are critical to understanding your problem, 
and you have not provided that information. [1] What looks like a matrix isn't 
always, and in R vectors do not have a column or row nature, so matrix 
multiplication is not necessarily well-defined. To get consistent results, make 
sure you actually are working with matrices rather than vectors, data frames or 
other data types. The str function is your friend.

Please clarify what data you are actually working with using the dput as 
described in the link [1]. Also use plain text, as the HTML formatting in your 
email usually corrupts what you think you see by the time we see it.

[1] 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
---
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DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.   ##.#.  Live Go...
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Research Engineer (Solar/BatteriesO.O#.   #.O#.  with
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Sent from my phone. Please excuse my brevity.

On August 22, 2015 6:43:54 AM PDT, Steven Yen sye...@gmail.com wrote:
I had trouble with matrix multiplication when a matrix reduces to a
vector.  In the following, lines 1 and 2 work when matrices u and a are
both of order 2.
Lines 3 and 5 do not work (message is matrix not conformable) when u is
(T
x 1) and a is (1 x 2) and This causes a problem for users of other
matrix
languages such as Gauss and MATLAB.
Inserting line 4 makes it work, which is annoying. But, is it
proper/safe
to make it work by inserting line 4? Other approaches?
Thank you!

1 a-solve(s22)%*%s21 # (2 x 2) - (2 x 2) %*% (2 x 2)
2 uc-u%*%v$a # (T x 2) - (T x 2) %*% (2 x 2)

3 a-solve(s22)%*%s21 # (1 x 2) - (1 x 1) %*% (1 x 2)
4 a-as.matrix(a) # This line makes it work. OK? Other approaches?
5 uc-u%*%v$a # (T x 1) %*% (1 x 2)

   [[alternative HTML version deleted]]

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Re: [R] fill color in boxplot and change number in scale

2015-08-22 Thread John Kane
Data? Please use dput() 

John Kane
Kingston ON Canada


 -Original Message-
 From: eladlaza...@gmail.com
 Sent: Fri, 21 Aug 2015 11:52:52 -0700 (PDT)
 To: r-help@r-project.org
 Subject: Re: [R] fill color in boxplot and change number in scale
 
 I want to change the numbers in scale Y to c(0,-2.5) from (0,-10) only.
 
 and I want to change the color green to yellow and blue to green in the
 boxplot.
 
 Thank you
 
 On Fri, Aug 21, 2015 at 6:28 PM, John Kane [via R] 
 ml-node+s789695n471135...@n4.nabble.com wrote:
 
 Would this help on colour?
 
 http://stackoverflow.com/questions/8320462/ggplot2-how-to-adjust-fill-colour-in-a-boxplot-and-change-legend-text
 
 You don't say what you want to with the numbers in scale (what scale?)
 You might want to try something like ?scale_manual and then do some
 googling.
 
 Note almost all the code you provided is redundent for the problem. We
 probably should have the data however . See ?dput or read ttp://
 stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
 and/or  http://adv-r.had.co.nz/Reproducibility.html for some hints on
 how
 to frame the question and supply data.
 
 
 
 John Kane
 Kingston ON Canada
 
 
 -Original Message-
 From: [hidden email]
 http:///user/SendEmail.jtp?type=nodenode=4711353i=0
 Sent: Fri, 21 Aug 2015 14:10:23 +0300
 To: [hidden email]
 http:///user/SendEmail.jtp?type=nodenode=4711353i=1
 Subject: [R] fill color in boxplot and change number in scale
 
 hello,
 I want to change the line color and/or fill of each boxplot and  change
 number in scale
 what I need to do?
 
 
 ylim-c(-3,0.5)
 data.for.plot-data.frame(accelaration=data_2$lag1min_accelaration,
   lag=1,
   alert='red')
 data.for.plot-rbind(data.for.plot,
   data.frame(accelaration=data_2$min_accelaration,
   lag=0,
   alert='red'))
 
 data.for.plot-rbind(data.for.plot,
 
 data.frame(accelaration=data_1$lag1min_accelaration,
   lag=1,
   alert='yellow'))
 data.for.plot-rbind(data.for.plot,
  data.frame(accelaration=data_1$min_accelaration,
 lag=0,
 alert='yellow'))
 
 data.for.plot-rbind(data.for.plot,
   data.frame(accelaration=data_0$lag1min_accelaration,
  lag=1,
  alert='no alert'))
 data.for.plot-rbind(data.for.plot,
  data.frame(accelaration=data_0$min_accelaration,
 lag=0,
 alert='no alert'))
 library('ggplot2')
 ggplot(data.for.plot,aes(fill=factor(alert),
  y=accelaration,x=factor(lag)))+
   geom_boxplot()
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Re: [R] Date as Integer

2015-08-22 Thread John Kane
Do an str() on the data. It looks like your variable is an integer where you 
probably need a date or a factor.

Would you please include some sample data if possible. See ?dput which is the 
preferred way for sending sample data. It ensures that the reader is looking at 
the exact same data that you have on your machine.  

If the data set is large a small, representative sample is find. Something like 
dput(head(dat1, 100)) is probably fine. Fake data is okay if it is in the same 
format as the real.  Check with str() before sending.

John Kane
Kingston ON Canada


 -Original Message-
 From: shivibha...@ymail.com
 Sent: Sat, 22 Aug 2015 00:43:05 -0700 (PDT)
 To: r-help@r-project.org
 Subject: [R] Date as Integer
 
 Hi All,
 
 I am using dplyr package and need to find total bills booked grouped on a
 date level however my date is integer.
 In the code below i was trying to change date format from integer.
 However
 it is throwing an error:
 
 no applicable method for 'group_by_' applied to an object of class
 c('integer', 'numeric')
 
 ak%%
   group_by(as.Date(pickdate),%y%m%d)%%
   summarise(Total=count(waybill))
 
 Do i need to create a new var first changing the date and then group it
 or
 as.Date will work as i added in dplyr.
 
 
 
 
 
 --
 View this message in context:
 http://r.789695.n4.nabble.com/Date-as-Integer-tp4711377.html
 Sent from the R help mailing list archive at Nabble.com.
 
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[R] Build R with optimized BLAS library

2015-08-22 Thread arnaud gaboury
I want to build R with an optimized BLAS library.
My OS: Fedora 22
Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian
CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name:
Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz

I am a little confused when it comes to choose a method and would like
to hear your experiences. If I am right, I have 3 possibilities:
- OpenBLAS: opensource and free, but I came across some posts
describing seg faults issues and bugs. These posts are 2 years old and
I wonder if it is still the case.
- ATLAS: can't see any reason to not use it
- Intel MKL: this is part of Intel Parallel Studio and is a paid
software. Now, there is the MKL package distributed by
Revolutionanalytics, but I am not certain how this can be distributed
for free. Is there any kind of difference? In case of use of this
package, do I need to install RRO or can I just build R from GNU
against these libraries?

Thank you for advices.

-- 

google.com/+arnaudgabourygabx

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Re: [R] Generalised poisson regression

2015-08-22 Thread Bert Gunter
Dare I say...



On Sat, Aug 22, 2015 at 1:17 PM, David Winsemius dwinsem...@comcast.net wrote:


 I'm not attacking your manhood when I say that your attachments are a problem.


Fortune Nomination!

Cheers,
Bert

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[R-es] Consulta ingreso de datos ponderados y ojiva

2015-08-22 Thread Fresia Holguín
Hola estoy dando mis primeros pasos en R, y  he ingresado vectores pero ahora 
quisiera ingresar datos ponderados, es decir como ingreso la siguiente tabla en 
R. (no tengo los datos uno a uno, solo cuento con esta informaci�n)






 
  
  LONGITUD (intervalos)
  
  
  N�mero de Piezas (Frecuencia)

  
 
 
  
  67.5
  � 72.5
  
  
  5
  
 
 
  
  72.5
  � 77.5
  
  
  95
  
 
 
  
  77.5
  � 82.5
  
  
  790
  
 
 
  
  82.5
  � 87.5
  
  
  100
  
 
 
  
  87.5
  � 92.5
  
  
  10
  
 




Y al tener estos datos agrupados como realizar�a el calculo de la frecuencia 
relativa para dibujar la ojiva.
Gracias.
  
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Re: [R] Generalised poisson regression

2015-08-22 Thread David Winsemius

On Aug 22, 2015, at 8:40 AM, Babatunde Yakub wrote:

 Using object$deviance for generalised poisson regression model gives NULL as 
 response. Code attached. please checkthanks

I'm not attacking your manhood when I say that your attachments are a problem. 
The only person who can see that attachment besides yourself is me because you 
did not copy the list and used an extension of `.r`. The mailing list requires 
that attachments be MIME-text and most mailers will not construct an email that 
lists them as such unless you use an extension of .txt. So your attachment with 
an .r extension was scrubbed. I'm not a user of the VGAM package, but I do read 
help pages. First your code which will let the rest of the audience correct my 
errors:

#EQUI-DISPERSION POISSON COUNT
library(MASS)
library(GPseq)
library(VGAM)
library(COMPoissonReg)
x=rnorm(50)
link=0.2+0.4*x
rpois.od-function (n,lambda,d) {
   if (d==1)
  rpois(n, lambda)
   else
  rnbinom(n, size=(lambda/(d-1)), mu=lambda)
}
y=rpois.od(50,lambda=exp(link),d=1)

# GENERALIZED POISSON
genp= vglm(y~x, genpoisson,trace = TRUE)
gen=summary(genp)


The need for 4 different packages was no at all clear. I installed pkg:VGAM and 
looked at `?genpoisson` after loading only that package. Since it was there 
then only pkg:COMPoissonReg might be modifying the behavior of htat code, so I 
left it uninstalled (and unloaded initially). The ?vglm page tells us that 
there is no deviance component to objects returned from it and states that the 
recommended method for doing LR-tests is to use `lrtest` and so my w

The 'gen' object was examined with `str`:

str(gen)

#output truncated at beginning and end
 ..@ family  :Formal class 'vglmff' [package VGAM] with 18 slots
 .. .. ..@ blurb : chr [1:8] Generalized Poisson distribution\n\n 
Links: rhobit(lambda) ,  ...
 .. .. ..@ constraints   :  expression({ M1 - 2 dotzero - -1 
eval(negzero.expression.VGAM) })
 .. .. ..@ deviance  :function ()  
 .. .. ..@ fini  :  expression({ })
 .. .. ..@ first :  expression({ })
 .. .. ..@ infos :function (...)  

#---

So that didn't look very promising, . seeing that empty `deviance` 
function. So I continued with my hacking efforts at following the manual and 
built a NULL model and ran an LRT:

?lrtest

 genpnull= vglm(y~1, genpoisson,trace = TRUE)
VGLMlinear loop  1 :  loglikelihood = -64.750744
VGLMlinear loop  2 :  loglikelihood = -64.696782
VGLMlinear loop  3 :  loglikelihood = -64.696568
VGLMlinear loop  4 :  loglikelihood = -64.696567
VGLMlinear loop  5 :  loglikelihood = -64.696567
 gen0=summary(genpnull)
 lrtest(genp,genpnull)
Likelihood ratio test

Model 1: y ~ x
Model 2: y ~ 1
 #Df  LogLik Df  Chisq Pr(Chisq)
1  97 -59.045 
2  98 -64.697  1 11.304  0.0007735 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1


The LogLik values would allow you to construct a deviance-value for each 
model although the `lrtest` function has already calculated the difference in 
2*LL between the 2 models and labeled it 'Chisq'. The deviance is not of much 
meaning as a number applied to a single model because it can vary drastically 
for different data arrangements. Only differences in nested models is 
meaningful.

Turned out that the actions I just performed are already done automatically if 
a single model is given to lrtest. Exactly the same output results. You can 
look at the code:

lrtest_vglm

# and see where it does that
snippet
   if (nmodels  2) {
   objects - c(objects, . ~ 1)
   nmodels - 2
   }
#-and then see that it is using a function named LogLik--

logLlist - lapply(objects, logLik)

#---

 logLik(genp)
[1] -59.04466

So if I had really known what I was doing, I might have just typed ?logLik, 
except when I do that it appears the package author doesn't really intend for 
us to do this, since that pulls up a page for Undocumented and Internally Used 
Functions and Classes. Thus endeth today's meanderings among the help pages 
for pkg:VGAM.

Please read the Posting Guide and also go back and read the general information 
webpages. You seem to have missed some important details.

-- 
David.

 
 
 On Friday, August 21, 2015 7:40 PM, David Winsemius dwinsem...@comcast.net 
 wrote:
 
 
 
 On Aug 21, 2015, at 5:22 AM, Babatunde Yakub via R-help wrote:
 
 I want to know how to extract or obtain the deviance for a fitted 
 generalised poisson regression model. Thanks in advance
 
 
 If you post the code and some sample data, for building such a model, I'm 
 sure someone can help you extract the deviance. If you simply mean what is 
 returned by an ordinary glm-call with family=poisson then deviance should 
 be one of the elements of the glm-object.
 
 
 object$deviance
 
[[alternative HTML version deleted]]
 
 When you do reply (if needed) please send in plain text 

[R-es] ayuda datos ponderados

2015-08-22 Thread Fresia Holguín




Hola
 estoy dando mis primeros pasos en R, y  he ingresado vectores pero 
ahora quisiera ingresar datos ponderados, es decir como ingreso la 
siguiente tabla en R. (no tengo los datos uno a uno, solo cuento con 
esta informacion)

  
Longitud = intervalos
Numero de Piezas = Frecuencia

Favor indicarme como hacer el calculo de frecuencia relativa para dibujar la 
ojiva.

Gracias


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[R] [R-pkgs] pls 2.5-0 released

2015-08-22 Thread Bjørn-Helge Mevik
Version 2.5-0 of the pls package has been released.  The pls package
implements Partial Least Squares Regression, Principal Component
Regression and Canonical Powered PLS.

The major changes are:

- Cross-validation can now make sure that replicates are kept in the
  same segment, by the use of a new argument `nrep'.  See ?cvsegments
  for details.

- It now has a vignette.

- It now has a NEWS file that can be accessed by news().
 
-- 
Regards,
Bjørn-Helge Mevik

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Re: [R] Build R with optimized BLAS library

2015-08-22 Thread arnaud gaboury
On Sat, Aug 22, 2015, 5:12 PM Jeff Newmiller jdnew...@dcn.davis.ca.us
wrote:

Questions about compiling generally belong on R-devel.

Ok. Sorrx fpr the noise


---
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DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.   ##.#.  Live Go...
  Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.O#.   #.O#.  with
/Software/Embedded Controllers)   .OO#.   .OO#.  rocks...1k
---
Sent from my phone. Please excuse my brevity.

On August 22, 2015 7:51:39 AM PDT, arnaud gaboury arnaud.gabo...@gmail.com
wrote:
I want to build R with an optimized BLAS library.
My OS: Fedora 22
Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian
CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name:
Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz

I am a little confused when it comes to choose a method and would like
to hear your experiences. If I am right, I have 3 possibilities:
- OpenBLAS: opensource and free, but I came across some posts
describing seg faults issues and bugs. These posts are 2 years old and
I wonder if it is still the case.
- ATLAS: can't see any reason to not use it
- Intel MKL: this is part of Intel Parallel Studio and is a paid
software. Now, there is the MKL package distributed by
Revolutionanalytics, but I am not certain how this can be distributed
for free. Is there any kind of difference? In case of use of this
package, do I need to install RRO or can I just build R from GNU
against these libraries?

Thank you for advices.

[[alternative HTML version deleted]]

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Re: [R] Build R with optimized BLAS library

2015-08-22 Thread Jeff Newmiller
Questions about compiling generally belong on R-devel.
---
Jeff NewmillerThe .   .  Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.   ##.#.  Live Go...
  Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.O#.   #.O#.  with
/Software/Embedded Controllers)   .OO#.   .OO#.  rocks...1k
--- 
Sent from my phone. Please excuse my brevity.

On August 22, 2015 7:51:39 AM PDT, arnaud gaboury arnaud.gabo...@gmail.com 
wrote:
I want to build R with an optimized BLAS library.
My OS: Fedora 22
Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian
CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name:
Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz

I am a little confused when it comes to choose a method and would like
to hear your experiences. If I am right, I have 3 possibilities:
- OpenBLAS: opensource and free, but I came across some posts
describing seg faults issues and bugs. These posts are 2 years old and
I wonder if it is still the case.
- ATLAS: can't see any reason to not use it
- Intel MKL: this is part of Intel Parallel Studio and is a paid
software. Now, there is the MKL package distributed by
Revolutionanalytics, but I am not certain how this can be distributed
for free. Is there any kind of difference? In case of use of this
package, do I need to install RRO or can I just build R from GNU
against these libraries?

Thank you for advices.

__
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Re: [R] Date as Integer

2015-08-22 Thread William Dunlap
It would help if you supplied a small dataset so we could
reproduce your problem problem.  Here is one that gives the same
error.  (I also moved some parentheses around so %y-%m-%d
is an argument to as.Date() instead of to group_by().)
  data.frame(pickdate=paste(sep=-,15,08,c(21,22,21,22,22)),
waybill=2^(0:4)) %%
group_by(as.Date(pickdate,%y-%m-%d)) %%
summarize(Total=count(waybill))
  #Error: no applicable method for 'group_by_' applied to an object of
class c('double', 'numeric')

I think count() is a wrapper for summarize() (or summarise() outside the
US),
not something to call from within summarize(), but I may be wrong (the help
file is terse).  Try using n() instead:
  data.frame(pickdate=paste(sep=-,15,08,c(21,22,21,22,22)),
waybill=2^(0:4)) %%
group_by(as.Date(pickdate,%y-%m-%d)) %%
summarize(N=n(), Sum=sum(waybill), Mean=mean(waybill))
  #Source: local data frame [2 x 4]
  #
  #  as.Date(pickdate, %y-%m-%d) N Sum Mean
  #12015-08-21 2   5 2.50
  #22015-08-22 3  26 8.67




Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Sat, Aug 22, 2015 at 12:43 AM, Shivi82 shivibha...@ymail.com wrote:

 Hi All,

 I am using dplyr package and need to find total bills booked grouped on a
 date level however my date is integer.
 In the code below i was trying to change date format from integer. However
 it is throwing an error:

 no applicable method for 'group_by_' applied to an object of class
 c('integer', 'numeric')

 ak%%
   group_by(as.Date(pickdate),%y%m%d)%%
   summarise(Total=count(waybill))

 Do i need to create a new var first changing the date and then group it or
 as.Date will work as i added in dplyr.





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 View this message in context:
 http://r.789695.n4.nabble.com/Date-as-Integer-tp4711377.html
 Sent from the R help mailing list archive at Nabble.com.

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