[R] graphs, need urgent help (deadline :( )

Rosa Oliveira rosita21 at gmail.com
Wed Jun 10 20:03:13 CEST 2015


Sorry,

I taught I attached the cvs file :)




Don,

I tried, but I got an error:

> my.data$Region
 [1]  1  2  3  4  5  6  7  8  9 10  1  2  3  4  5  6  7  8  9 10  1  2  3  4  5  6  7  8  9 10
> my.data$sample
 [1]   50   50   50   50   50   50   50   50   50   50  250  250  250  250  250  250  250  250  250  250 1000 1000 1000 1000 1000 1000 1000 1000
[29] 1000 1000
> my.data$factor.a
 [1] 0.895 0.811 0.685 0.777 0.600 0.466 0.446 0.392 0.256 0.198 0.136 0.121 0.875 0.777 0.685 0.626 0.550 0.466 0.384 0.330 0.060 0.138 0.065
[24] 0.034 0.931 0.124 0.060 0.028 0.017 0.014


> plot(my.data$Region[my.data$sample==50],my.data$factor.a[my.data$sample==50],col=4,type=“l”,xlab=“Region”,ylab=“factor")
Error: unexpected input in "plot(my.data$Region[my.data$sample==50],my.data$factor.a[my.data$sample==50],col=4,type=�”


I’m really naive, right?


Best,
RO


Atenciosamente,
Rosa Oliveira

-- 
____________________________________________________________________________


Rosa Celeste dos Santos Oliveira, 

E-mail: rosita21 at gmail.com
Tlm: +351 939355143 
Linkedin: https://pt.linkedin.com/in/rosacsoliveira
____________________________________________________________________________
"Many admire, few know"
Hippocrates

> On 10 Jun 2015, at 18:10, Don McKenzie <dmck at u.washington.edu> wrote:
> 
> For a legend, try (untested)
> 
> legend(0.15,0.9,c("factora","factorb","factorc"),col=c(4,2,3),lty=1)
> 
> If it overlaps data points move the first two arguments (0.15 and 0.9) around, or change the “ylim” argument in the plot() to ~1.2.
> 
> to avoid clutter, put the line-types information in the figure caption (IMO)
> 
> 
>> On Jun 10, 2015, at 10:03 AM, Don McKenzie <dmck at u.washington.edu <mailto:dmck at u.washington.edu>> wrote:
>> 
>> 
>>> On Jun 10, 2015, at 9:08 AM, Rosa Oliveira <rosita21 at gmail.com <mailto:rosita21 at gmail.com>> wrote:
>>> 
>>> Dear All,
>>> 
>>> 
>>> I attach my data.
>>> 
>>> Dear Jim, 
>>> 
>>> when I run your code (even the one you send me, not in my data), I get:
>>> 
>>> Don't know how to automatically pick scale for object of type function. Defaulting to continuous
>>> Error in data.frame(x = c(0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1,  : 
>>>   arguments imply differing number of rows: 24, 0
>>> 
>>> 
>>> 
>>> Dear Don,
>>> 
>>> It’s meant that I will have 12 lines: 
>>> 3 factors - lines colors
>>> with 3 different values of “sample” for each - line types
>>> 
>>> 
>>> [Three colors, one for each factor,
>>> and  three line types (lty=1,2,3), one for eachvalue of “sample - preferable dash, thin and thick).
>>> 
>>> 
>>> in the X - I should have region (because I have 10 regions)
>>> for each region I have the outcome of 3 different treatments (factor)
>>> for each region and each treatment I have 3 different sample size.
>> 
>> But in your original post you had 4 sample sizes: 10,20,30,40.
>>> 
>>> I need to “see” the the influence of the region in the treatment outcome for each sample size.
>>> 
>>> So, at the end I should have 9 lines
>>> 3 red (1 dash, 1 thin, 1 thick) - concerning factor a (dash for sample size 50, thin for sample size 250 and thick for sample size 1000)
>>> 3 blue (1 dash, 1 thin, 1 thick) - concerning factor b (dash for sample size 50, thin for sample size 250 and thick for sample size 1000)
>>> 3 green (1 dash, 1 thin, 1 thick) - concerning factor c (dash for sample size 50, thin for sample size 250 and thick for sample size 1000)
>>> 
>>> 
>>> 
>>> Hope this time is clear.
>>> 
>>> 
>>> I also though about doing 3 different graphs, each one for 1 different sample size, and in that case I should have 3 graphs each one with 3 lines
>>> 1 red to factor a, 1 blue to factor b and 1 green to factor c.
>>> 
>>> Do you all think is better?
>> 
>> A matter of style perhaps but I would use dotplots because you have only two data points for each “line”.  The lines will be misleading.  You also could use 
>> panel plots, but given your skill set (unless someone wants to spend a fair bit of time with you), it’s probably best to stay as simple as possible.
>> 
>> But given your original post (cleaned up)   # untested: apologies for any typos
>> 
>>>        region              sample          factora          factorb 		factorc
>>> 	0.1  			10     	 0.895   		0.903   		0.378
>>> 	0.2  			10      	0.811  		 0.865  		 0.688
>>> 	0.1  			20      	0.735   		0.966   		0.611
>>> 	0.2  			20     	 0.777  		 0.732  		 0.653
>>> 	0.1  			30      	0.600   		0.778   		0.694
>>> 	0.2  			30     	 0.466  		 174.592 		0.461
>>> 	0.1  			40     	 0.446   		0.432   		0.693
>>> 	0.2  			40     	 0.392   		0.294  		 0.686
>> 
>> 
>> plot(my.data$region[my.data$sample==10],my.data$factora[my.data$sample==10],col=4,type=“l”,ylim=c(0,1),xlab=“region”,ylab=“factor")
>> lines(my.data$region[my.data$sample==10],my.data$factorb[my.data$sample==10],col=2)
>> lines(my.data$region[my.data$sample==10],my.data$factorc[my.data$sample==10],col=3)
>> 
>> lines(my.data$region[my.data$sample==20],my.data$factora[my.data$sample==20],col=4,lty=2)
>> lines(my.data$region[my.data$sample==20],my.data$factorb[my.data$sample==20],col=2,lty=2)
>> lines(my.data$region[my.data$sample==20],my.data$factorc[my.data$sample==20],col=3,lty=2)
>> 
>> #  Now do two more groups of 3, changing the parameter “lty” to 3 and then 4
>> 
>> 
>> # Look at the syntax and note what changes and what stays constant. Do you see how this works?
>> # there will be what looks like a vertical line where sample = 30 and factorb = 174.592.  Do you see why?
>> 
>> # then you will need a legend
>> 
>>> Nonetheless I can’t do it :(
>>> 
>>> best,
>>> RO
>>> 
>>> 
>>> 
>>> Atenciosamente,
>>> Rosa Oliveira
>>> 
>>> -- 
>>> ____________________________________________________________________________
>>>  
>>> <smile.jpg>
>>> Rosa Celeste dos Santos Oliveira, 
>>> 
>>> E-mail: rosita21 at gmail.com <mailto:rosita21 at gmail.com>
>>> Tlm: +351 939355143 
>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira <https://pt.linkedin.com/in/rosacsoliveira>
>>> ____________________________________________________________________________
>>> "Many admire, few know"
>>> Hippocrates
>>> 
>>>> On 10 Jun 2015, at 14:13, John Kane <jrkrideau at inbox.com <mailto:jrkrideau at inbox.com>> wrote:
>>>> 
>>>> Hi Jim,
>>>> 
>>>> I was looking at that last night and had the same problem of visualizing what Rosa needed.  
>>>> 
>>>> Hi Rosa
>>>> This is nothing like what you wanted and I really don't understand your data but would something like this work as a substitute or am I completely lost?
>>>> 
>>>> 
>>>> dat1  <-  structure(list(region = c(0.1, 0.2, 0.1, 0.2, 0.1, 0.2, 0.1, 
>>>> 0.2), sample = c(10L, 10L, 20L, 20L, 30L, 30L, 40L, 40L), factora = c(0.895, 
>>>> 0.811, 0.735, 0.777, 0.6, 0.466, 0.446, 0.392), factorb = c(0.903, 
>>>> 0.865, 0.966, 0.732, 0.778, 0.592, 0.432, 0.294), factorc = c(0.37,
>>>> 0.688, 0.611, 0.653, 0.694, 0.461, 0.693, 0.686)), .Names = c("region", 
>>>> "sample", "factora", "factorb", "factorc"), class = "data.frame", row.names = c(NA, 
>>>> -8L))
>>>> 
>>>> 
>>>> mdat1  <-   melt(dat1, id.var = c("region", "sample"),
>>>>                    variable.name = "factor",
>>>>                    value.name = "value")
>>>> str(mdat1)
>>>> 
>>>> ggplot(mdat1, aes(region, value, colour = factor)) +
>>>>                geom_line() + facet_grid(sample ~ .)
>>>> 
>>>> John Kane
>>>> Kingston ON Canada
>>>> 
>>>> 
>>>>> -----Original Message-----
>>>>> From: drjimlemon at gmail.com <mailto:drjimlemon at gmail.com>
>>>>> Sent: Wed, 10 Jun 2015 20:51:52 +1000
>>>>> To: rosita21 at gmail.com <mailto:rosita21 at gmail.com>
>>>>> Subject: Re: [R] graphs, need urgent help (deadline :( )
>>>>> 
>>>>> Hi Rosa,
>>>>> Like Don, I can't work out what you want and I don't even have the
>>>>> picture. For example, your specification of color and line type leaves
>>>>> only one point for each color and line type, and the line from one
>>>>> point to the same point is not going to show up. Here is a possibility
>>>>> that may lead (eventually) to a solution.
>>>>> 
>>>>> library(plotrix)
>>>>> par(tcl=-0.1)
>>>>> gap.plot(x=rep(seq(10,45,by=5),3),
>>>>> y=unlist(my.data[,c("factora","factorb","factorc")]),
>>>>> main="A plot of factorial mystery",
>>>>> gap=c(1.1,174),ylim=c(0,175),ylab="factor score",xlab="Group",
>>>>> xticlab=c(" \n0.1\n10"," \n0.2\n10"," \n0.1\n20"," \n0.2\n20",
>>>>>  " \n0.1\n30"," \n0.2\n30"," \n0.1\n40"," \n0.2\n40"),
>>>>> ytics=c(0,0.5,1,174.59),pch=rep(1:3,each=8),col=rep(c(4,2,3),each=8))
>>>>> mtext(c("Region","Sample"),side=1,at=6,line=c(0,1))
>>>>> lines(seq(10,45,by=5),my.data$factora,col=4)
>>>>> lines(seq(10,45,by=5),my.data$factorb[c(1:5,NA,7,8)],col=2)
>>>>> lines(seq(10,45,by=5),my.data$factorc,col=3)
>>>>> 
>>>>> Jim
>>>>> 
>>>>> 
>>>>> On Wed, Jun 10, 2015 at 10:53 AM, Rosa Oliveira <rosita21 at gmail.com <mailto:rosita21 at gmail.com>>
>>>>> wrote:
>>>>>> Dear Don and all,
>>>>>> 
>>>>>> I’ve read the tutorial and tried several codes before posting :)
>>>>>> I’m really naive.
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> what I was trying to :  is something like the graph in the picture I
>>>>>> drawee.
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> Is it more clear now?
>>>>>> 
>>>>>> Atenciosamente,
>>>>>> Rosa Oliveira
>>>>>> 
>>>>>> --
>>>>>> ____________________________________________________________________________
>>>>>> 
>>>>>> 
>>>>>> Rosa Celeste dos Santos Oliveira,
>>>>>> 
>>>>>> E-mail: rosita21 at gmail.com <mailto:rosita21 at gmail.com> <mailto:rosita21 at gmail.com <mailto:rosita21 at gmail.com>>
>>>>>> Tlm: +351 939355143
>>>>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira <https://pt.linkedin.com/in/rosacsoliveira>
>>>>>> <https://pt.linkedin.com/in/rosacsoliveira <https://pt.linkedin.com/in/rosacsoliveira>>
>>>>>> ____________________________________________________________________________
>>>>>> "Many admire, few know"
>>>>>> Hippocrates
>>>>>> 
>>>>>>> On 09 Jun 2015, at 19:23, Don McKenzie <dmck at u.washington.edu <mailto:dmck at u.washington.edu>
>>>>>>> <mailto:dmck at u.washington.edu <mailto:dmck at u.washington.edu>>> wrote:
>>>>>>> 
>>>>>>> The answer lies in learning to use the help (and knowing where to
>>>>>>> start).  Did you look at the tutorial that comes with the R
>>>>>>> installation?
>>>>>>> 
>>>>>>> ?plot
>>>>>>> ?lines
>>>>>>> 
>>>>>>> ?par
>>>>>>> 
>>>>>>> In the last, look for the descriptions of “col” and “lty”.
>>>>>>> 
>>>>>>> Using plot() and lines(), and subsetting the four unique values of
>>>>>>> “sample”, you can create your lines.
>>>>>>> 
>>>>>>> Here is a crude start, assuming your columns are part of a data frame
>>>>>>> called “my.data”.   Untested...
>>>>>>> 
>>>> plot(my.data$region[my.data$sample==10],my.data$factora[my.data$sample==10],col=4)
>>>>>>> # blue line, not dashed
>>>>>>> .
>>>>>>> .
>>>>>>> .
>>>> lines(my.data$region[my.data$sample==20],my.data$factorb[my.data$sample==20],col=2,lty=2)
>>>>>>> # red dashed line
>>>>>>> 
>>>>>>> 
>>>>>>>> On Jun 9, 2015, at 10:36 AM, Rosa Oliveira <rosita21 at gmail.com <mailto:rosita21 at gmail.com>
>>>>>>>> <mailto:rosita21 at gmail.com <mailto:rosita21 at gmail.com>>> wrote:
>>>>>>>> 
>>>>>>>> Hi,
>>>>>>>> 
>>>>>>>> another naive question (i’m pretty sure :( )
>>>>>>>> 
>>>>>>>> 
>>>>>>>> I’m trying to plot a multiple line graph:
>>>>>>>> 
>>>>>>>>        region              sample          factora          factorb
>>>>>>>> factorc
>>>>>>>> 0.1  10      0.895   0.903   0.378
>>>>>>>> 0.2  10      0.811   0.865   0.688
>>>>>>>> 0.1  20      0.735   0.966   0.611
>>>>>>>> 0.2  20      0.777   0.732   0.653
>>>>>>>> 0.1  30      0.600   0.778   0.694
>>>>>>>> 0.2  30      0.466   174.592 0.461
>>>>>>>> 0.1  40      0.446   0.432   0.693
>>>>>>>> 0.2  40      0.392   0.294   0.686
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> The first column should be the independent variable, the second should
>>>>>>>> compute a bold line for sample(10) and dash line for sample 20.
>>>>>>> 
>>>>>>> What about the other two values of “sample”?
>>>>>>> 
>>>>>>>> The others variables are outcomes for each of the first scenarios, and
>>>>>>>> so it should: the 3rd, 4th and 5th columns should be blue, red and
>>>>>>>> green respectively.
>>>>>>>> 
>>>>>>>> 
>>>>>>>> Resume :)
>>>>>>>> 
>>>>>>>> I should have a graph, in the x-axe should have the region and in the
>>>>>>>> y axe, the factor.
>>>>>>>> Lines:
>>>>>>>>     1 - blue and bold for region 0.1, sample 10 and factor a
>>>>>>>>     2 - blue and dash for region 0.2, sample 10 and factor a
>>>>>>>>     3 - red and bold for region 0.1, sample 10 and factor b
>>>>>>>>     4 - red and dash for region 0.2, sample 10 and factor b
>>>>>>>>     5 - green and bold for region 0.1, sample 10 and factor c
>>>>>>>>     6 - green and dash for region 0.2, sample 10 and factor c
>>>>>>> 
>>>>>>> Not consistent with what you said above. These are no longer lines, but
>>>>>>> points.
>>>>>>>> 
>>>>>>>> nonetheless the independent variable is nominal, I should plot a line
>>>>>>>> graph.
>>>>>>>> 
>>>>>>>> Can anyone help me please?
>>>>>>>> I have my file as a cvs file, so I first read that file (that I know
>>>>>>>> how to do :)).
>>>>>>>> 
>>>>>>>> But I have it in that format.
>>>>>>>> 
>>>>>>>> Best,
>>>>>>>> RO
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> Atenciosamente,
>>>>>>>> Rosa Oliveira
>>>>>>>> 
>>>>>>>> --
>>>>>>>> ____________________________________________________________________________
>>>>>>>> 
>>>>>>>> 
>>>>>>>> Rosa Celeste dos Santos Oliveira,
>>>>>>>> 
>>>>>>>> E-mail: rosita21 at gmail.com <mailto:rosita21 at gmail.com> <mailto:rosita21 at gmail.com <mailto:rosita21 at gmail.com>>
>>>>>>>> Tlm: +351 939355143
>>>>>>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira <https://pt.linkedin.com/in/rosacsoliveira>
>>>>>>>> <https://pt.linkedin.com/in/rosacsoliveira <https://pt.linkedin.com/in/rosacsoliveira>>
>>>>>>>> ____________________________________________________________________________
>>>>>>>> "Many admire, few know"
>>>>>>>> Hippocrates
>>>>>>>> 
>>>>>>>> 
>>>>>>>>     [[alternative HTML version deleted]]
>>>>>>>> 
>>>>>>>> ______________________________________________
>>>>>>>> R-help at r-project.org <mailto:R-help at r-project.org> <mailto:R-help at r-project.org <mailto:R-help at r-project.org>> mailing list -- To
>>>>>>>> UNSUBSCRIBE and more, see
>>>>>>>> https://stat.ethz.ch/mailman/listinfo/r-help <https://stat.ethz.ch/mailman/listinfo/r-help>
>>>>>>>> <https://stat.ethz.ch/mailman/listinfo/r-help <https://stat.ethz.ch/mailman/listinfo/r-help>>
>>>>>>>> PLEASE do read the posting guide
>>>>>>>> http://www.R-project.org/posting-guide.html <http://www.r-project.org/posting-guide.html>
>>>>>>>> <http://www.r-project.org/posting-guide.html <http://www.r-project.org/posting-guide.html>>
>>>>>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>>>> 
>>>>>>> <PastedGraphic-1.tiff>
>>>>>>> 
>>>>>> 
>>>>>> ______________________________________________
>>>>>> R-help at r-project.org <mailto:R-help at r-project.org> mailing list -- To UNSUBSCRIBE and more, see
>>>>>> https://stat.ethz.ch/mailman/listinfo/r-help <https://stat.ethz.ch/mailman/listinfo/r-help>
>>>>>> PLEASE do read the posting guide
>>>>>> http://www.R-project.org/posting-guide.html <http://www.r-project.org/posting-guide.html>
>>>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>> 
>>>>> ______________________________________________
>>>>> R-help at r-project.org <mailto:R-help at r-project.org> mailing list -- To UNSUBSCRIBE and more, see
>>>>> https://stat.ethz.ch/mailman/listinfo/r-help <https://stat.ethz.ch/mailman/listinfo/r-help>
>>>>> PLEASE do read the posting guide
>>>>> http://www.R-project.org/posting-guide.html <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!
>>>> Check it out at http://www.inbox.com/marineaquarium <http://www.inbox.com/marineaquarium>
>>>> 
>>>> 
>>> 
>> 
>> <PastedGraphic-1.tiff>
>> 
> 
> <PastedGraphic-1.tiff>
> 



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