gmane.comp.lang.r.teaching

Re: graphing inequalities (intervals) in onevarible

Michael Weylandt — 2013-05-09T13:07:23

You could perhaps say what you tried....

Michael

On May 9, 2013, at 12:33, Yahoo! <aboueiss< at >yahoo.com> wrote:


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Re: graphing inequalities (intervals) in onevarible

Gabor Grothendieck — 2013-05-09T12:38:07

Check out the intervals packages:

library(intervals)
example(plot.Intervals)

--
Statistics & Software Consulting
GKX Group, GKX Associates Inc.
tel: 1-877-GKX-GROUP
email: ggrothendieck at gmail.com

Re: graphing inequalities (intervals) in one varible

Joel Schwartz — 2013-05-09T12:32:24

Something like this might get you at least part of the way there:

const = function(x) {x*0}
plot(c(-100,100), c(0,0), col="gray60", lty=3, lwd=2, yaxt="n",
     xlim=c(-10,10), type="l",
     xlab="", ylab="")
curve(const, 3, 8, lwd=4, add=TRUE)
points(3, 0, pch=16, cex=1.5)

Then you can fiddle with the axis() command to get the x-axis looking how you want it. Or you can turn off the x-axis and add axis-like annotations right beneath the plotted interval.

You can also package the code above into a function for plotting any interval(s) entered by the user.

HTH,
Joel

On May 9, 2013, at 4:33 AM, Yahoo! wrote:



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Re: graphing inequalities (intervals) in onevarible

Yahoo! — 2013-05-09T11:33:22

Dear Michael:

Thank you very much.

I am still not able to make it works.


thanks
abou

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

AbouEl-Makarim Aboueissa

Sozan Elsalakawy

Mohamed Agamia



246 Auburn Street, #158

Portland, ME 04103

USA



Tel: (207) 797-2724

Email: aboueiss< at >yahoo.com

--- On Thu, 5/9/13, R. Michael Weylandt <michael.weylandt< at >gmail.com> wrote:

From: R. Michael Weylandt <michael.weylandt< at >gmail.com>
Subject: Re: [R-sig-teaching] graphing inequalities (intervals) in one varible
To: "Yahoo!" <aboueiss< at >yahoo.com>
Cc: "R-sig-teaching" <r-sig-teaching< at >r-project.org>
Date: Thursday, May 9, 2013, 6:49 AM

Here's the start of a function. I'll leave it to you to do it better
(it should probably also use S4 methods, but that's another project):

interval <- function(lower = -Inf, upper = Inf, lower_closed = FALSE,
upper_closed = FALSE){
  structure(.Data = NULL, lower = lower, upper = upper, lower_closed =
lower_closed, upper_closed = upper_closed, class = 'interval')
}

plot.interval <- function(x){
 l <- att

Re: graphing inequalities (intervals) in onevarible

R. Michael Weylandt — 2013-05-09T10:49:19

Here's the start of a function. I'll leave it to you to do it better
(it should probably also use S4 methods, but that's another project):

interval <- function(lower = -Inf, upper = Inf, lower_closed = FALSE,
upper_closed = FALSE){
  structure(.Data = NULL, lower = lower, upper = upper, lower_closed =
lower_closed, upper_closed = upper_closed, class = 'interval')
}

plot.interval <- function(x){
 l <- attr(x, "lower")
 u <- attr(x, "upper")

 r <- c(l, u) * c(if(l > 0) 0.7 else 1.2, if(u > 0) 1.2 else 0.7)
 plot(r, c(0,1), main = '', bty = 'n', xlab = '', ylab = '', yaxt =
'n', type = 'n', xaxt = 'n')

 axis(1, at = seq(r[1], r[2], length.out = 10))

 lines(c(l, u), c(0.5, 0.5), col = 2, lwd = 2)

 lc <- attr(x, 'lower_closed')
 uc <- attr(x, 'upper_closed')


 points(c(l, u), c(0.5, 0.5), pch = c(1, 19)[c(lc, uc) + 1], col = 2, cex = 2)

}

On Wed, May 8, 2013 at 12:10 PM, Yahoo! <aboueiss< at >yahoo.com> wrote:

Re: graphing inequalities (intervals) in one varible

Mattson, Todd — 2013-05-08T18:53:32

You may want to try the curve function.  For example:

curve(x^2,-1,1,xlim=c(-3,5),ylim=c(0,9))
 curve(x^2,2,3,add=TRUE)

Todd Mattson
DeVry University

-----Original Message-----
From: r-sig-teaching-bounces< at >r-project.org [mailto:r-sig-teaching-bounces< at >r-project.org] On Behalf Of Yahoo!
Sent: Wednesday, May 08, 2013 6:10 AM
To: r-sig-teaching< at >r-project.org
Subject: [R-sig-teaching] graphing inequalities (intervals) in one varible

Dear All:

It seems a very silly question. But I never tried it before. I am teaching a college algebra class this summer. 

I need some help with graphing intervals on the real line. For examples:

{x | -7<= x < 5 and x > 7}

{x | x > 3}

etc...


thank you very much
abou

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

AbouEl-Makarim Aboueissa

Sozan Elsalakawy

Mohamed Agamia



246 Auburn Street, #158

Portland, ME 04103

USA



Tel: (207) 797-2724

Email: aboueiss< at >yahoo.com
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_______________________________________________
R-sig-teaching< at >r-project.org mailing l

graphing inequalities (intervals) in one varible

Yahoo! — 2013-05-08T11:10:01

Dear All:

It seems a very silly question. But I never tried it before. I am teaching a college algebra class this summer. 

I need some help with graphing intervals on the real line. For examples:

{x | -7<= x < 5 and x > 7}

{x | x > 3}

etc...


thank you very much
abou

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

AbouEl-Makarim Aboueissa

Sozan Elsalakawy

Mohamed Agamia



246 Auburn Street, #158

Portland, ME 04103

USA



Tel: (207) 797-2724

Email: aboueiss< at >yahoo.com
[[alternative HTML version deleted]]

Re: create a negative skewed plot (density)

2013-04-14T21:02:17


On Apr 14, 2013, at 4:52 PM, Yahoo! <aboueiss< at >yahoo.com> wrote:


But that's vastly under specified; there's no such thing as _the_ skewed distribution. You simply need to pick a skewed distribution and then plot it however you want. You've already been pointed to one resource on how to do so. 


How about something like this? 

layout(1:3)
x <- rnorm(1e5, 4, 1)
plot(density(x))
plot(density(log(x)))
plot(density(exp(x)))

Michael

create a negative skewed plot (density)

Yahoo! — 2013-04-14T20:52:15


Dear All: Just fix my previous email.



I am trying to show the symmetric and skewed (both left and right) distributions to my students. But I could not create a negative skewed distribution *or negative skewed graph). I am still not be able to figure it out.
 

with many thanks

abou



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

AbouEl-Makarim Aboueissa

Sozan Elsalakawy

Mohamed Agamia



246 Auburn Street, #158

Portland, ME 04103

USA



Tel: (207) 797-2724

Email: aboueiss< at >yahoo.com
[[alternative HTML version deleted]]

Re: Create and graph a negative skeweddistribution (curve)

Dennis Murphy — 2013-04-14T20:22:34

Pray tell, what is a "negative distribution"?

To be a little more helpful, consult the probability chapter in the
Introduction to R that comes with the software in both html and pdf
form to learn which distributions are built into the base distribution
of R. Perhaps you'll find what you need there. According to a recent
R-bloggers post, counting the base distribution and the contributed
packages on CRAN, there are approximately 170 probability
distributions available in R. You could try package sos (which
requires an active Internet connection) to find the distribution you
want if the Intro to R perusal comes up empty:

# install.packages("sos")
library(sos)
findFn("my_search_string")

It will return a web page of (partial) matches to your query string.

If your distribution is continuous, you could consider the curve()
function, or just your everyday plot() with type = "l". For discrete
distibutions, you could consider barplot() or plot() with type = "h";
see the help page for plot.default() for an example

Create and graph a negative skewed distribution(curve)

Yahoo! — 2013-04-14T16:25:50

Dear All:

How I can create and plot a negative distribution (curve) in R.

with many thanks
abou


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

AbouEl-Makarim Aboueissa

Sozan Elsalakawy

Mohamed Agamia



246 Auburn Street, #158

Portland, ME 04103

USA



Tel: (207) 797-2724

Email: aboueiss< at >yahoo.com
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wielbili

Ali Zanaty — 2013-04-12T11:03:09

 http://www.davidsonhomes.com/11a-hdnsdsjreunx-4.php 













  quinlan, ven conmigo al patio de armas; te explicare las tareas que quiero que realicen los hombres durante mi ausencla a8776c6cab9e8275a1f7f5088fef19b5a7e7b8e7bafa6774e284343ff2af5a7aS 
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Re: R-sig-teaching Digest, Vol 61, Issue 1

Wayne Smith — 2013-03-11T16:43:22


On 3/11/2013 4:00 AM, r-sig-teaching-request< at >r-project.org wrote:

...[snip]...

Excellent, excellent work.  Professor Horton, please extend
my best to your students.

Wayne Smith, Ph.D.
Department of Management
California State University, Northridge

...[snip]...

Updates on "How to Do it in R" for the"Statistical Sleuth" and "Introduction to the Practice ofStatistics"

Nicholas Horton — 2013-03-10T12:53:39

A group of students and faculty at Smith College have created a series of files to help describe how to undertake analyses using R that are introduced as examples in two excellent textbooks: the Second and Third editions of the Statistical Sleuth: A Course in Methods of Data Analysis (2002, Fred Ramsey and Dan Schafer) and the Sixth edition of Introduction to the Practice of Statistics (2009, David S. Moore, George P. McCabe and Bruce A. Craig).  If you are using either of these books, or would like to see straightforward ways to undertake analyses in R for ue in intro and intermediate statistics courses, these may be of interest.

The files can be found at http://www.math.smith.edu/~nhorton/sleuth and http://www.math.smith.edu/~nhorton/ips6e, respectively. We have include both formatted pdf files as well as the original knitr files which were used to generate the output. Knitr is an elegant, flexible and fast means to undertake reproducible analysis and dynamic report generation within R and RStudio.  

Thi

R for Numercal Analysis

Ali Zanaty — 2013-02-08T13:20:22

Dear All R users:

I am going to teach a numerical analysis class (undergraduate level) in Summer 2013. I am wondering if someone have R notes used in the numerical analysis methods.

thank you very much

Ali

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Re: R-sig-teaching Digest, Vol 59, Issue 9

Nicholas Horton — 2013-02-07T13:43:26


Allen,

You might be interested in checking out the HELP study dataset, which is included as part of the "mosaic" package in R as well as in a variety of formats from the book "SAS and R: Data Management, Statistical Analysis and Graphics" book website at http://www.math.smith.edu/sasr/datasets.php.

This includes deidentified data from a randomized trial of n=470 subjects recruited from a detox center in Boston who were randomized to usual care or an intervention to link them to primary care.  Approximately 200 variables are measured at each of baseline, 6 months, 12 month, 18 month and 24 month follow up.  There are a variety of sociobehavioral, health, and health services questions which can be addressed.

The complete set of instruments can be downloaded from http://www.math.smith.edu/help.

Nick

Nicholas Horton 
Department of Mathematics and Statistics, Smith College
Clark Science Center, Northampton, MA 01063-0001
http://www.math.smith.edu/~nhorton

Re: Handbook of Small Datasets

Dennis Murphy — 2013-02-07T01:27:08

Hi:

As promised, I have rolled up a few versions of the files in HDLMO and
put them in my Dropbox.

(1) Zipped csv form:
https://dl.dropbox.com/u/57587928/csv.zip

(2) Individual R binary objects in zip form:
https://dl.dropbox.com/u/57587928/Rdata.zip

(3) All of the R objects in one .Rdata file:
https://dl.dropbox.com/u/57587928/hdlmo.Rdata

Should you choose to access one or more of these archives, I
******strongly******* encourage you to read the index.txt and
README.txt files that come with the zipped archives. I took more than
a few liberties with renaming R objects relative to the names of the
original datasets (originally, this was meant for my own use), and
many data sets contain more than one R object (and hence more than one
corresponding .Rdata or .csv file). The file index.txt provides the
roadmap that connects the numbers and descriptions of the original
data sets to the names of the corresponding R objects, their
class/type and the name of the csv file to which the R object was
written. The R

Re: Handbook of Small Datasets

Bob — 2013-01-31T12:57:49

The datsets are also available on the publisher's website.  I just
compared several files among those, the versions at NCSU, and the
version that came on a floppy with the book when it first came out.
File sizes are exactly the same and for the files I looked inside the
layout is sheer madness in all three versions.

Forwarded message:


------->  First-time AP Stats. teacher?  Help is on the way! See
http://courses.ncssm.edu/math/Stat_Inst/Stats2007/Bob%20Hayden/Relief.html
      _
     | |          Robert W. Hayden
     | |          142 Main Street
    /  |          Apartment 104
   |   |          Jaffrey, New Hampshire 03452  USA
   |   |          email: bob< at > the site below
  /    |          website: http://statland.org
 | x   /          phone: (603) 532-7224 (home)
 ''''''

Re: Handbook of Small Datasets

Bob — 2013-01-31T11:26:02

I just looked at a couple of files at NCSU and they looked like the
original files on the disk supplied with the book.  Has anyone found
ones there that are NOT as originally supplied?  Here is an example
(made up) of the kind of problems in the original files.  You might
have a data set with three variables, x and y quantitative, and z
categorical with three groups.  The data file looks just like the
table in the book: six columns, x,y,x,y,x,y with the pairs matching
z=a,b,c.  So the given data have to be stacked and the categorical
variable created.  Not too horrendous if you just want to use that one
datsaset but virtually all the files have similar (often worse)
problems, i.e., you cannot read them into an R dataframe as-is.  You
can find other actual examples in my review

  Review of Two Collections of Data for Use in a First Course in
  Statistics, The American Statistician, Vol.50, No.2 (May 1996), 
  pp. 168-169.
  
I cleaned up and used about 20 datasets myself.  At the time I wrote
the review I h

Re: Handbook of Small Datasets

Dennis Murphy — 2013-01-31T09:58:54

That's what the book is for: its purpose is to describe the variables
and context of each data set. The book 'Data' by Andrews and Herzberg
(1985) is similar in that respect. As I mentioned to Bob privately, I
thought about making a R package of the data sets in HDLMO several
years ago because I used a number of them in teaching, but then
realized that if I wrote the help pages, I'd essentially be violating
the copyright of the book...so that project died. But I do have a
collection of R objects for the data sets which I'm editing and hope
to finish before the weekend is out. Bob prefers a zipped csv archive,
but I can make an R binary available (or a zipped version of .Rdata
files) if anyone is interested.

Dennis

On Wed, Jan 30, 2013 at 7:54 PM, Jeff Laux <jefflaux< at >gmail.com> wrote:

Re: Handbook of Small Datasets

Jeff Laux — 2013-01-31T03:54:06

Yes.  They can be found on NC State's Statistics department's website:

      http://www.stat.ncsu.edu/working_groups/sas/sicl/data/

However, the accompanying stories don't exist.  What is posted is just 
tab delimited text files with numeric data.  Someone else will have to 
say what the numbers are supposed to mean.


On 1/30/2013 6:48 PM, Bob wrote: