[R] scatter plot to continuous plot

azam jaafari azamjaafari at yahoo.com
Mon Feb 24 11:43:42 CET 2014


Hello All

I want to convert a scatter plot to a continuous contour plot. I have "x" as a variable and "y" as another variable. 
is there any package for this?
can anybody halp me? 

Thanks


--------------------------------------------
On Sun, 2/23/14, r-help-request at r-project.org <r-help-request at r-project.org> wrote:

 Subject: R-help Digest, Vol 132, Issue 23
 To: r-help at r-project.org
 Date: Sunday, February 23, 2014, 3:00 AM

 Send R-help mailing list submissions
 to
     r-help at r-project.org

 To subscribe or unsubscribe via the World Wide Web, visit
     https://stat.ethz.ch/mailman/listinfo/r-help
 or, via email, send a message with subject or body 'help'
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 When replying, please edit your Subject line so it is more
 specific
 than "Re: Contents of R-help digest..."


 Today's Topics:

    1. Math symbols in ggplot facets (Lars
 Bishop)
    2. Re: dependent column(s) in data frame
 (PQuery)
    3. Exposures in bernoulli glm() (Marco
 Inacio)
    4. Learn R in a Day - new ebook (Steve
 Murray)
    5. Hi everybody, your help would be very
[[elided Yahoo spam]]
       (varin sacha)
    6. hist: argument '...' is not made use of
 (Jennifer Lyon)
    7. create video? (Spencer Graves)
    8. Re: how to plot a logarithmic
 regression line (arun)
    9. Re: dependent column(s) in data frame
 (David Winsemius)
   10. Re: how to plot a logarithmic regression line
 (David Winsemius)
   11. Re: Math symbols in ggplot facets (Dennis
 Murphy)
   12. equivalent of $\check Y$ in plotmath (Ranjan
 Maitra)
   13. seeking alternative method to copy a large
 section of my R
       program (Julie Royster)
   14. Re: seeking alternative method to copy a large
 section of my
       R    program (Jeff
 Newmiller)
   15. Re: seeking alternative method to copy a large
 section of my
       R    program (David
 Winsemius)


 ----------------------------------------------------------------------

 Message: 1
 Date: Sat, 22 Feb 2014 12:24:13 +0100
 From: Lars Bishop <lars52r at gmail.com>
 To: "r-help at r-project.org"
 <r-help at r-project.org>
 Subject: [R] Math symbols in ggplot facets
 Message-ID:
     <CAO7OmOiLa2Obmgz3MtQCsgV8QZHGhr52WkUeQwq7qohNbp7AcA at mail.gmail.com>
 Content-Type: text/plain

 Hello,

 I would like to show in my facet labels the equivalent in
 LaTex of
 $\sigma_{0}= \sqrt{2}$. I think I'm close below, but not yet
 as it shows
 $(\sigma_{0}, \sqrt{2})$

 m <- mpg
 levels(m$drv) <- c("sigma[0]=sqrt(2)", "sigma[0]=2 *
 sqrt(2)", "sigma[0]= 3
 * sqrt(2)")

 ggplot(m, aes(x = displ, y = cty)) + geom_point() +
   facet_grid(. ~ drv, labeller = label_parsed)


 Thanks,
 Lars.

     [[alternative HTML version deleted]]



 ------------------------------

 Message: 2
 Date: Sat, 22 Feb 2014 04:28:03 -0800 (PST)
 From: PQuery <pierre.khoueiry at embl.de>
 To: r-help at r-project.org
 Subject: Re: [R] dependent column(s) in data frame
 Message-ID: <1393072083649-4685684.post at n4.nabble.com>
 Content-Type: text/plain; charset=us-ascii

 Many thanks David,

 I will have a look on logistic regression for my case.
 Do you know about a good example regarding logistic
 regression ?
 I was thinking also of using Multiple Factor Analysis too
 (MFA - like in
 FactoMineR). However I am not sure how successful this is
 going to be.

 Best,
 P.




 --
 View this message in context: http://r.789695.n4.nabble.com/dependent-column-s-in-data-frame-tp4685561p4685684.html
 Sent from the R help mailing list archive at Nabble.com.



 ------------------------------

 Message: 3
 Date: Sat, 22 Feb 2014 11:29:56 -0300
 From: Marco Inacio <marcoigarapava at gmail.com>
 To: R help <r-help at r-project.org>
 Subject: [R] Exposures in bernoulli glm()
 Message-ID: <5308B464.7010305 at gmail.com>
 Content-Type: text/plain; charset=ISO-8859-1; format=flowed

 Hi, is it possible to add exposures to a glm with
 family=binomial()?

 It's easy to do it for a Poisson/negative binomial: just
 multiply the 
 mean by the exposure, that is, offset(log(exposure)): but
 this obviously 
 wrong for a binomial/Bernoulli since the mean must be no
 bigger than 1.

 My goal was do it it with pscl::zeroinfl and pscl::hurdle,
 but answering 
 for binomial/Bernoulli would already help.



 ------------------------------

 Message: 4
 Date: Sat, 22 Feb 2014 15:48:44 +0000
 From: Steve Murray <smurray444 at hotmail.com>
 To: "r-help at r-project.org"
 <r-help at r-project.org>
 Subject: [R] Learn R in a Day - new ebook
 Message-ID: <DUB115-W46569916EEC0D272530CBD88840 at phx.gbl>
 Content-Type: text/plain

 Dear all,
  
 I'd like to make you aware of my new ebook - Learn R in a
 Day - which
 provides the reader with key programming skills through an
 examples-oriented
 approach and is ideally suited for academics, scientists,
 mathematicians and
 engineers.
  
 Amazon.com: 
 http://www.amazon.com/Learn-R-Day-Steven-Murray-ebook/dp/B00GC2LKOK/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1393005750&sr=1-1&keywords=learn+r+in+a+day
  
 Amazon UK: 
 http://www.amazon.co.uk/Learn-R-Day-Steven-Murray-ebook/dp/B00GC2LKOK

  
 The book assumes no prior knowledge of computer programming
 and
 progressively covers all the essential steps needed to
 become confident and
 proficient in using R within a day. Topics include how to
 input, manipulate,
 format, iterate (loop), query, perform basic statistics on,
 and plot data,
 via a step-by-step technique and demonstrations using
 in-built datasets
 which the reader is encouraged to replicate on their
 computer. Each chapter
 also includes exercises (with solutions) to practice key
 skills and empower
 the reader to build on the essentials gained during this
 introductory
 course.
  
 Steve Murray
      
         
           
   
     [[alternative HTML version deleted]]



 ------------------------------

 Message: 5
 Date: Sat, 22 Feb 2014 16:14:01 +0000 (GMT)
 From: varin sacha <varinsacha at yahoo.fr>
 To: "r-help at r-project.org"
 <r-help at r-project.org>
 Subject: [R] Hi everybody, your help would be very
 appreciate, thanks
     !
 Message-ID:
     <1393085641.78161.YahooMailNeo at web171304.mail.ir2.yahoo.com>
 Content-Type: text/plain

 Hi everybody,

 I have realized a multiple linear regression. 
 To know how well my model does in terms of prediction, I can
 compute prediction intervals bands and decide if they are
 narrow enough to be of use. If they are too wide, then they
 probably are not useful.

 Using R, I have written these R codes.

 LinearModel.1 <- lm(GDP.per.head ~ Competitivness.score +
 Quality.score, 
   data=Dataset)
 summary(LinearModel.1)
 predict(LinearModel.1, se.fit = FALSE, scale = NULL, df =
 Inf,interval = c("none", "confidence", "prediction"),level =
 0.95, type = c("response", "terms"),terms = NULL)

 Now, I am trying to draw one graph / plot, where I can
 have the straight regression line and the prediction
 interval bands in the same graph / plot to see if the
 bands are narrow enough to be of use.

 Could you please help me with my R codes ?

 Thanks for your precious help,

     [[alternative HTML version deleted]]



 ------------------------------

 Message: 6
 Date: Sat, 22 Feb 2014 12:06:06 -0700
 From: Jennifer Lyon <jennifer.s.lyon at gmail.com>
 To: r-help at r-project.org
 Subject: [R] hist: argument '...' is not made use of
 Message-ID:
    
 <CAKstpn6+BPbx=5GQm3BvsUW9SsosF3TH0qw9CNgdzspgMa=X2g at mail.gmail.com>
 Content-Type: text/plain

 Hi:

 When converting some code to use plot = F in a call to
 hist(), I received
 the following warning (with a much simplified example).

 moo<-1:10
 hist(moo, las=1, plot=F)

 Warning message:
 In hist.default(moo, las = 1, plot = F) : argument '...' is
 not made use of

 >From the help page, I was able to figure out that it was
 the las=1
 argument, which is not needed with plot = F that was my
 issue. My question
 is whether this was the intended warning (instead of
 mentioning las = 1
 explicitly, which might be hard to implement) and if so if
 there might be
 some more direct way to figure out what was wrong from say
 args(hist),
 since I initially thought I'd in some way unintentionally
 passed ... as an
 argument?

 sessionInfo()
 R version 3.0.2 (2013-09-25)
 Platform: x86_64-unknown-linux-gnu (64-bit)

 locale:
  [1] LC_CTYPE=en_US.UTF-8   
    LC_NUMERIC=C
  [3] LC_TIME=en_US.UTF-8       
 LC_COLLATE=en_US.UTF-8
  [5] LC_MONETARY=en_US.UTF-8   
 LC_MESSAGES=en_US.UTF-8
  [7] LC_PAPER=en_US.UTF-8   
    LC_NAME=C
  [9] LC_ADDRESS=C           
    LC_TELEPHONE=C
 [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

 attached base packages:
 [1] stats     graphics  grDevices
 utils     datasets 
 methods   base


 Thanks!

 Jen

     [[alternative HTML version deleted]]



 ------------------------------

 Message: 7
 Date: Sat, 22 Feb 2014 11:25:03 -0800
 From: Spencer Graves <spencer.graves at structuremonitoring.com>
 To: R list <R-help at r-project.org>
 Subject: [R] create video?
 Message-ID: <5308F98F.6050601 at structuremonitoring.com>
 Content-Type: text/plain; charset=ISO-8859-1; format=flowed

 Hello:


        Might someone have
 experience with video production?  The 
 "animation" package in R can produce video clips. 
 These could 
 presumably be merged and synced with audio using something
 like 
 Avidemux.  I have not done this, but it looks like it
 might be a 
 relatively easy way for an R user to create a video from
 audio and slides.


        I'd like something that
 would give me more control than 
 screencasting.  For this, I'm thinking of recording the
 audio, then 
 measuring each phrase with something like Audacity. 
 I'd then use that 
 with R and Avidemux as outlined above.


        Can anyone suggest something
 different or provide details on ways 
 to make this easy?


        Thanks,
        Spencer Graves



 ------------------------------

 Message: 8
 Date: Sat, 22 Feb 2014 13:06:52 -0800 (PST)

 To: "R. Help" <r-help at r-project.org>
 Subject: Re: [R] how to plot a logarithmic regression line
 Message-ID:
     <1393103212.42547.YahooMailNeo at web142603.mail.bf1.yahoo.com>
 Content-Type: text/plain; charset=iso-8859-1

 HI,
 Try ?curve

 fit <- lm(Mean_Percent_of_Range~log(No.ofPoints))
 ?coef(fit)
 ?# ?? (Intercept) log(No.ofPoints) 
 ? # ??? -74.52645???????? 46.14392 



 ?plot(Mean_Percent_of_Range ~ No.ofPoints) 
 curve(coef(fit)[[1]]+coef(fit)[[2]]*log(x),add=TRUE,col=2)


 A.K.



 I realize this is a stupid question, and I have honestly
 tried to find 
 the answer online, but nothing I have tried has worked. I
 have two 
 vectors of data: 

 "Mean_percent_of_range" 
 10.90000 ?17.50000 ?21.86667 ?25.00000 ?25.40000 ?26.76667
 ?29.53333
  ?32.36667 ?43.13333 ?41.80000 50.56667 ?49.26667 ?50.36667
 ?51.93333 
 ?59.70000 ?63.96667 ?62.53333 ?60.80000 ?64.23333 ?66.00000
 74.03333 
 ?70.40000 ?77.06667 ?76.46667 ?78.13333 ?89.46667 ?88.90000
 ?90.03333 
 ?91.60000 ?94.30000 95.50000 ?96.20000 ?96.50000 ?91.40000
 ?98.20000 
 ?96.60000 ?97.40000 ?99.00000 100.00000 

 and 
 "No.ofPoints" 
 5 ?6 ?7 ?8 ?9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
 25 26 27 28 29 30 31 32 33 34 35 36 37 38 
 39 40 41 42 43 

 When I plot these, I get a logarithmic curve (as I should
 for this type of data) 
 > plot(Mean_Percent_of_Range ~ No.ofPoints) 

 All that I want to do is plot best fit regression line for
 that 
 curve. From what I have read online, it seems like the code
 to do that 
 should be 
 > abline(lm(log(Mean_Percent_of_Range) ~
 log(No.ofPoints))) 
 but that gives me a straight line that isn't even close to
 fitting the data 

 How do I plot the line and get the equation of that line and
 a correlation coefficient? 
 Thanks



 ------------------------------

 Message: 9
 Date: Sat, 22 Feb 2014 13:17:11 -0800
 From: David Winsemius <dwinsemius at comcast.net>
 To: PQuery <pierre.khoueiry at embl.de>
 Cc: r-help at r-project.org
 Subject: Re: [R] dependent column(s) in data frame
 Message-ID: <7F4E15EB-C7C8-4B29-9F7B-84E71B05A49C at comcast.net>
 Content-Type: text/plain; charset=us-ascii


 On Feb 22, 2014, at 4:28 AM, PQuery wrote:

 > Many thanks David,
 > 
 > I will have a look on logistic regression for my case.
 > Do you know about a good example regarding logistic
 regression ?
 > I was thinking also of using Multiple Factor Analysis
 too (MFA - like in
 > FactoMineR). However I am not sure how successful this
 is going to be.

 Your data (exclusively 0/1 values) did not look like it
 would be suitable for factor analysis. Perhaps you mean to
 use that package's correspondence analysis methods?

 -- 

 David Winsemius
 Alameda, CA, USA



 ------------------------------

 Message: 10
 Date: Sat, 22 Feb 2014 16:57:31 -0800
 From: David Winsemius <dwinsemius at comcast.net>

 Cc: "R. Help" <r-help at r-project.org>
 Subject: Re: [R] how to plot a logarithmic regression line
 Message-ID: <40376E77-6E00-4D16-B568-3FB8AE9B53B3 at comcast.net>
 Content-Type: text/plain; charset=windows-1252


 On Feb 22, 2014, at 1:06 PM, arun wrote:

 > HI,
 > Try ?curve
 > 
 > fit <- lm(Mean_Percent_of_Range~log(No.ofPoints))
 >  coef(fit)
 >  #    (Intercept) log(No.ofPoints) 
 >   # 
    -74.52645     
    46.14392 
 > 
 > 
 > 
 >  plot(Mean_Percent_of_Range ~ No.ofPoints) 
 >
 curve(coef(fit)[[1]]+coef(fit)[[2]]*log(x),add=TRUE,col=2)
 > 
 > 
 > A.K.
 > 
 > 
 > 
 > I realize this is a stupid question, and I have
 honestly tried to find 
 > the answer online, but nothing I have tried has worked.
 I have two 
 > vectors of data: 
 > 
 > "Mean_percent_of_range" 
 > 10.90000  17.50000  21.86667 
 25.00000  25.40000  26.76667  29.53333
 >  32.36667  43.13333  41.80000
 50.56667  49.26667  50.36667  51.93333 
 >  59.70000  63.96667  62.53333 
 60.80000  64.23333  66.00000 74.03333 
 >  70.40000  77.06667  76.46667 
 78.13333  89.46667  88.90000  90.03333 
 >  91.60000  94.30000 95.50000 
 96.20000  96.50000  91.40000  98.20000 
 >  96.60000  97.40000  99.00000 100.00000

 > 
 > and 
 > "No.ofPoints" 
 > 5  6  7  8  9 10 11 12 13 14 15 16
 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
 37 38 
 > 39 40 41 42 43 
 > 
 > When I plot these, I get a logarithmic curve (as I
 should for this type of data) 
 >> plot(Mean_Percent_of_Range ~ No.ofPoints) 
 > 
 > All that I want to do is plot best fit regression line
 for that 
 > curve. From what I have read online, it seems like the
 code to do that 
 > should be 
 >> abline(lm(log(Mean_Percent_of_Range) ~
 log(No.ofPoints))) 
 > but that gives me a straight line that isn't even close
 to fitting the data 
 > 
 > How do I plot the line and get the equation of that
 line and a correlation coefficient? 

 The 'abline' function is not what you want. Use 'lines' to
 plot multiple points. 

 Perhaps:

 mod <- lm(log(Mean_percent_of_range) ~ log(No.ofPoints))
  plot(log(Mean_percent_of_range), log(No.ofPoints))
 lines( log(No.ofPoints), predict(mod))
 #------------
 > summary(mod)

 Call:
 lm(formula = log(Mean_percent_of_range) ~ log(No.ofPoints))

 Residuals:
      Min   
    1Q   Median   
    3Q      Max 
 -0.32617 -0.04839  0.00962  0.05316  0.17316


 Coefficients:
              
    Estimate Std. Error t value
 Pr(>|t|)    
 (Intercept)       1.19840 
  
 0.08060   14.87   <2e-16
 ***
 log(No.ofPoints)  0.94228   
 0.02609   36.12   <2e-16
 ***
 ---
 Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.?
 0.1 ? ? 1

 Residual standard error: 0.09455 on 37 degrees of freedom
 Multiple R-squared:  0.9724,    Adjusted
 R-squared:  0.9717 
 F-statistic:  1305 on 1 and 37 DF,  p-value: <
 2.2e-16



 David Winsemius
 Alameda, CA, USA



 ------------------------------

 Message: 11
 Date: Sat, 22 Feb 2014 18:18:57 -0800
 From: Dennis Murphy <djmuser at gmail.com>
 To: Lars Bishop <lars52r at gmail.com>
 Cc: "r-help at r-project.org"
 <r-help at r-project.org>
 Subject: Re: [R] Math symbols in ggplot facets
 Message-ID:
    
 <CADv2QyE=sV9086T=44QoGkha5JR1SHch7HSn=H_gNDEXzof_LQ at mail.gmail.com>
 Content-Type: text/plain; charset=ISO-8859-1

 Hi:

 You were close...

 library(ggplot2)
 m <- mpg

 # Set the factor labels with plotmath code (note the ==)
 m$drv <- factor(m$drv, labels = c("sigma[0] == sqrt(2)",
                
                
   "sigma[0] == 2 * sqrt(2)",
                
                
   "sigma[0] == 3 * sqrt(2)"))

 ggplot(m, aes(x = displ, y = cty)) + geom_point() +
   facet_grid(. ~ drv, labeller = label_parsed)

 Dennis

 On Sat, Feb 22, 2014 at 3:24 AM, Lars Bishop <lars52r at gmail.com>
 wrote:
 > Hello,
 >
 > I would like to show in my facet labels the equivalent
 in LaTex of
 > $\sigma_{0}= \sqrt{2}$. I think I'm close below, but
 not yet as it shows
 > $(\sigma_{0}, \sqrt{2})$
 >
 > m <- mpg
 > levels(m$drv) <- c("sigma[0]=sqrt(2)", "sigma[0]=2 *
 sqrt(2)", "sigma[0]= 3
 > * sqrt(2)")
 >
 > ggplot(m, aes(x = displ, y = cty)) + geom_point() +
 >   facet_grid(. ~ drv, labeller =
 label_parsed)
 >
 >
 > Thanks,
 > Lars.
 >
 >         [[alternative
 HTML version deleted]]
 >
 > ______________________________________________
 > R-help at r-project.org
 mailing list
 > 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.



 ------------------------------

 Message: 12
 Date: Sat, 22 Feb 2014 21:29:03 -0600
 From: Ranjan Maitra <maitra.mbox.ignored at inbox.com>
 To: <r-help at stat.math.ethz.ch>
 Subject: [R] equivalent of $\check Y$ in plotmath
 Message-ID: <20140222212903.e2fe6dcbc1a9a3a11d014c8d at inbox.com>
 Content-Type: text/plain; charset="us-ascii"

 Hi,

 I am trying to put the expression which in LaTeX would be
 $\check Y$  as
 a label on the axis of a plot.

 How does one get the \check part of the above to produce a
 similar
 symbol in plotmath in R? I looked around plotmath's help but
 could not
 see this in the documentation.

 Many thanks for any suggestions, and best wishes,
 Ranjan

 -- 
 Important Notice: This mailbox is ignored: e-mails are set
 to be
 deleted on receipt. Please respond to the mailing list if
 appropriate.
 For those needing to send personal or professional e-mail,
 please use
 appropriate addresses.

 ____________________________________________________________
 FREE 3D MARINE AQUARIUM SCREENSAVER - Watch dolphins, sharks
[[elided Yahoo spam]]



 ------------------------------

 Message: 13
 Date: Sat, 22 Feb 2014 16:57:14 -0500
 From: "Julie Royster" <jsdroyster at nc.rr.com>
 To: <r-help at r-project.org>
 Subject: [R] seeking alternative method to copy a large
 section of my
     R    program
 Message-ID: <000501cf3019$0c22da00$24688e00$@rr.com>
 Content-Type: text/plain

 Is there any way I can insert markers at the beginning and
 end of a large
 section of R statements and then copy all text in between to
 clipboard?

 I have trouble scrolling to select long sections, so if
 there is another way
[[elided Yahoo spam]]

 Julie (for husband Larry)

     [[alternative HTML version deleted]]



 ------------------------------

 Message: 14
 Date: Sat, 22 Feb 2014 22:34:02 -0800
 From: Jeff Newmiller <jdnewmil at dcn.davis.CA.us>
 To: Julie Royster <jsdroyster at nc.rr.com>,
 r-help at r-project.org
 Subject: Re: [R] seeking alternative method to copy a large
 section of
     my    R   
 program
 Message-ID: <bfb3ed6b-33f6-4956-9430-daab0fe6adf0 at email.android.com>
 Content-Type: text/plain; charset=UTF-8

 This is a function of the editor you use and the operating
 system you use, neither of which is on topic here. That
 said, many popular GUI editors allow you to select by
 holding the shift key down while moving the cursor with
 arrow keys. Note that in the long run using the source
 function to have R process a whole file is much easier to
 remember how to do later than remembering which chunks of
 code to copy and paste. In addition, sometimes the amount of
 text that the clipboard can hold will be less than you want
 to run, leading to mysterious error messages from R.
 ---------------------------------------------------------------------------
 Jeff Newmiller           
             The 
    .....   
    .....  Go Live...
 DCN:<jdnewmil at dcn.davis.ca.us> 
       Basics: ##.#.   
    ##.#.  Live Go...
                
                
       Live:   OO#.. Dead:
 OO#..  Playing
 Research Engineer (Solar/Batteries     
       O.O#.   
    #.O#.  with
 /Software/Embedded Controllers)       
        .OO#.   
    .OO#.  rocks...1k
 ---------------------------------------------------------------------------

 Sent from my phone. Please excuse my brevity.

 On February 22, 2014 1:57:14 PM PST, Julie Royster <jsdroyster at nc.rr.com>
 wrote:
 >Is there any way I can insert markers at the beginning
 and end of a
 >large
 >section of R statements and then copy all text in
 between to clipboard?
 >
 >I have trouble scrolling to select long sections, so if
 there is
 >another way
[[elided Yahoo spam]]
 >
 >Julie (for husband Larry)
 >
 >    [[alternative HTML version deleted]]
 >
 >______________________________________________
 >R-help at r-project.org
 mailing list
 >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.



 ------------------------------

 Message: 15
 Date: Sat, 22 Feb 2014 22:36:12 -0800
 From: David Winsemius <dwinsemius at comcast.net>
 To: "Julie Royster" <jsdroyster at nc.rr.com>
 Cc: r-help at r-project.org
 Subject: Re: [R] seeking alternative method to copy a large
 section of
     my R    program
 Message-ID: <C4ECBAED-6528-49D9-88D9-F319E170A057 at comcast.net>
 Content-Type: text/plain; charset=us-ascii


 On Feb 22, 2014, at 1:57 PM, Julie Royster wrote:

 > Is there any way I can insert markers at the beginning
 and end of a large
 > section of R statements and then copy all text in
 between to clipboard?
 > 
 > I have trouble scrolling to select long sections, so if
 there is another way
[[elided Yahoo spam]]

 Each interface is going to be a bit different, but on both
 the Mac and Windoze I can position the cursor at one end ,
 hold down the shift-key, scroll to the other end and release
 the shift-key and I will have the target ready for either an
 Edit/Cut or a cmd-C/ctrl-C.
 -- 

 David Winsemius
 Alameda, CA, USA



 ------------------------------

 _______________________________________________
 R-help at r-project.org
 mailing list
 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.

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