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

Rosa Oliveira rosita21 at gmail.com
Wed Jun 10 18:08:06 CEST 2015


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.

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?
Nonetheless I can’t do it :(

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 14:13, John Kane <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
>> Sent: Wed, 10 Jun 2015 20:51:52 +1000
>> To: 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$factorc,col=3)
>> 
>> Jim
>> 
>> 
>> On Wed, Jun 10, 2015 at 10:53 AM, Rosa Oliveira <rosita21 at gmail.com>
>> wrote:
>>> Dear Don and all,
>>> 
>>> I’ve read the tutorial and tried several codes before posting :)
>>> I’m really naive.
>>> 
>>> 
>>> 
>>> what I was trying to :  is something like the graph in the picture I
>>> drawee.
>>> 
>>> 
>>> 
>>> 
>>> Is it more clear now?
>>> 
>>> Atenciosamente,
>>> Rosa Oliveira
>>> 
>>> --
>>> ____________________________________________________________________________
>>> 
>>> 
>>> Rosa Celeste dos Santos Oliveira,
>>> 
>>> E-mail: rosita21 at gmail.com <mailto:rosita21 at gmail.com>
>>> Tlm: +351 939355143
>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira
>>> <https://pt.linkedin.com/in/rosacsoliveira>
>>> ____________________________________________________________________________
>>> "Many admire, few know"
>>> Hippocrates
>>> 
>>>> On 09 Jun 2015, at 19:23, Don McKenzie <dmck at u.washington.edu
>>>> <mailto:dmck at u.washington.edu>> wrote:
>>>> 
>>>> The answer lies in learning to use the help (and knowing where to
>>>> start).  Did you look at the tutorial that comes with the R
>>>> installation?
>>>> 
>>>> ?plot
>>>> ?lines
>>>> 
>>>> ?par
>>>> 
>>>> In the last, look for the descriptions of “col” and “lty”.
>>>> 
>>>> Using plot() and lines(), and subsetting the four unique values of
>>>> “sample”, you can create your lines.
>>>> 
>>>> Here is a crude start, assuming your columns are part of a data frame
>>>> called “my.data”.   Untested...
>>>> 
> plot(my.data$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>> 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>
>>>>> Tlm: +351 939355143
>>>>> Linkedin: 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> 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.
>>>> 
>>>> <PastedGraphic-1.tiff>
>>>> 
>>> 
>>> ______________________________________________
>>> R-help at 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.
>> 
>> ______________________________________________
>> R-help at 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.
> 
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