The easiest way to supply data is to use the dput() function. Example with
your file named "testfile":
dput(testfile)
Then copy the output and paste into your email. For large data sets, you can
just supply a representative sample. Usually,
dput(head(testfile, 100)) will be sufficient.
Generally speaking two y-axis scales are to be avoided if at all possible.
Faceting is likely to give you better results although I see that the scale
differences are annoying large. It is possible to plot the two facets of the
graph independently in order to have two independent y-axes but it takes more
work and may or may not be needed
Here is a possible approach based on ggplot2 . You will probably have to
install ggplot2 and reshape2 using install.packages() Notice I've changed your
variable names around and turned your data into a dataframe with the matrix
row.names as another variable.
##===================begin code======================#
library(reshape2)
library(ggplot2)
dat1<-read.table(text="
place abund freq
MOTU2 0.003 0.083
MOTU4 0.029 0.167
MOTU6 0.033 0.167
MOTU7 0.023 0.083
MOTU9 0.009 0.083
MOTU11 0.042 0.250
MOTU14 0.069 0.083
MOTU16 0.059 0.167
MOTU17 0.034 0.083
MOTU18 0.049 0.083
MOTU19 0.084 0.333
MOTU20 0.015 0.083
MOTU21 0.059 0.083
MOTU22 0.032 0.167
MOTU23 0.142 0.250
MOTU24 0.031 0.083
MOTU25 0.034 0.083
MOTU29 0.010 0.083
MOTU30 0.011 0.083
MOTU33 0.004 0.083
MOTU36 0.034 0.333
MOTU34 0.182 0.417
",sep="",header=TRUE,stringsAsFactors=FALSE)
str(dat1)
dm1 <- melt(dat1, id = "place",
variable.name="type", value.name="freq")
str(dm1)
# plot first alternative
ggplot(dm1, aes(place, freq, colour = type, group = type )) + geom_line(group
= 1) +
facet_grid(type ~ . )
# or plot second alternative.
ggplot(dm1, aes(place, freq, colour = type, group = type )) + geom_line(group
= 1) +
facet_grid(. ~ type )
##====================end code=======================#
> -----Original Message-----
> From: gian.benu...@gmail.com
> Sent: Thu, 14 Mar 2013 15:40:53 +0100
> To: r-help@r-project.org
> Subject: Re: [R] column and line graphs in R
>
> Hi again,
>
> Thank you all for your support. I would love to have a graph in which two
> variables are contemporary showed. For example a histogram and a curve
> should be the perfect choice. I tried to use twoord.plot() but I am not
> sure I understand how to manage the the arguments lx, ly, rx, ry...
> Anyway
> these are my data:
>
>> nat_af
> rel.abund rel.freq
> MOTU2 0.003 0.083
> MOTU4 0.029 0.167
> MOTU6 0.033 0.167
> MOTU7 0.023 0.083
> MOTU9 0.009 0.083
> MOTU11 0.042 0.250
> MOTU14 0.069 0.083
> MOTU16 0.059 0.167
> MOTU17 0.034 0.083
> MOTU18 0.049 0.083
> MOTU19 0.084 0.333
> MOTU20 0.015 0.083
> MOTU21 0.059 0.083
> MOTU22 0.032 0.167
> MOTU23 0.142 0.250
> MOTU24 0.031 0.083
> MOTU25 0.034 0.083
> MOTU29 0.010 0.083
> MOTU30 0.011 0.083
> MOTU33 0.004 0.083
> MOTU36 0.034 0.333
> MOTU34 0.182 0.417
>
> First column is the relative abundance of the given MOTU and second
> column
> is the relative frequency of the same MOTU.
> Thank you very much in advance,
>
> --
> Gian
>
>
> On 14 March 2013 14:51, John Kane <jrkrid...@inbox.com> wrote:
>
>>
>> http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
>>
>> You really need to read the posting guide and supply some sample data
>> at
>> the very least.
>>
>> Here is about as simple minded a plot as R will do as an example however
>>
>> dat1 <- structure(list(abond = c(17L, 3L, 6L, 11L, 5L, 8L, 13L, 16L,
>> 15L, 2L), freq = c(17L, 14L, 7L, 13L, 19L, 5L, 3L, 20L,
>> 9L,
>> 10L
>> )), .Names = c("abond", "freq"), row.names = c(NA, -10L),
>> class = "data.frame")
>>
>>
>> plot(dat1$abond, col = "red")
>> lines(dat1$freq, col= "blue")
>> John Kane
>> Kingston ON Canada
>>
>>
>>> -----Original Message-----
>>> From: gian.benu...@gmail.com
>>> Sent: Thu, 14 Mar 2013 11:05:40 +0100
>>> To: r-help@r-project.org
>>> Subject: [R] column and line graphs in R
>>>
>>> Hi all,
>>>
>>> I would love to plot my data with R. I have abundance and frequency of
>>> fungal
>>> taxonomic data that should be plotted in the same graph. In Microsoft
>>> Excel
>>> is that possible but the graphic result is, as always, very poor. Is
>>> there
>>> a function that may let me plot these data in R?
>>> I have a matrix made of two columns, on is the relative abundance and
>>> the
>>> other is the relative frequency for each of my sample.
>>> Thank you very much,
>>>
>>> --
>>> Gian
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@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.
>>
>> ____________________________________________________________
>> FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
>> Check it out at http://www.inbox.com/earth
>>
>>
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@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.
____________________________________________________________
FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
______________________________________________
R-help@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.
