Unless you have a really large number of wells I'd just use the brute force
approach of reading in each data set with a simple read.table or
read.csv like
well1 <- read.csv("well1.csv) type of statement and repeat for each
well.
Here is a simple example that may give you an idea of how to do the boxplots
. I have done them two ways, one using base graphics and the other using
ggplot2. You will probably have to install the ggplot2 package -- just
issue the command install.packages("ggplot2)
The base approach is initially a lot simpler but in the longer term, if you
expect to do a lot of graphing work in R, the grid packages like ggplot2 or
lattice seem to offer a lot more control for less actual typing, especially
if you need publication/report quality graphics.
##===============start code==================== set.seed(345)
#reproducable sample
# create three sample data sets,
well_1 <- data.frame(arsenic = rnorm(12))
well_2 <- data.frame (arsenic = rnorm(10))
well_3 <- data.frame (arsenic = rnorm(15))
wells <- rbind(well_1, well_2, well_3) # create single data.frame
#create an id value for each well
well_id <- c(rep(1,nrow(well_1)), rep(2, nrow(well_2)), rep(3,
nrow(well_3)))
#add the well identifier
wells <- cbind(wells , well_id)
str(wells) # check to see what we have
boxplot(arsenic ~ well_id, data = wells) # plot vertical boxplot
boxplot(arsenic ~ well_id, data = wells,
horizontal =
TRUE,col=c("red","green","blue")) #horizontal box
plot
# vertical boxplot using ggplot2
library(ggplot2)
p <- ggplot(wells, aes(as.factor(well_id), arsenic)) + geom_boxplot()
p
# horizontal boxplot
p1 <- p + coord_flip()
p1
p2 <- ggplot(wells, aes(as.factor(well_id), arsenic, fill
as.factor(well_id) )) +
geom_boxplot() + coord_flip() +
scale_fill_discrete(guide=FALSE)
##===============end code=====================
John Kane
Kingston ON Canada
-----Original Message-----
From: annijanh at gmail.com
Sent: Sat, 23 Mar 2013 10:22:02 -0400
To: jrkrideau at inbox.com
Subject: Re: [R] boxplot
Hello John,
I apologize for the delayed response. Yes I am referring to the same type
of data in the data sets. For example, the arsenic concentrations in
individual groundwater monitoring wells at a groundwater contaminated site,
where one well may have 12 concentration measurements, another well has 10,
etc.
Thanks
Janh
On Fri, Mar 22, 2013 at 5:31 PM, John Kane <[1]jrkrideau at inbox.com>
wrote:
Hi Janh,
When you say that you have "multiple data sets of unequal sample
sizes"
are you speaking of the same kind of data" For example are you
speaking
of data from a set of experiments where the variables measured are all the
same and where when you graph them you expect the same x and y scales?
Or are you talking about essentilly independent data sets that it makes
sense to graph in a grid ?
John Kane
Kingston ON Canada
> -----Original Message-----
> From: [2]annijanh at gmail.com
> Sent: Fri, 22 Mar 2013 10:46:21 -0400
> To: [3]dcarlson at tamu.edu
> Subject: Re: [R] boxplot
>
> Hello All,
>
> On the subject of boxplots, I have multiple data sets of unequal sample
> sizes and was wondering what would be the most efficient way to read in
> the
> data and plot side-by-side boxplots, with options for controlling the
> orientation of the plots (i.e. vertical or horizontal) and the spacing?
> Your
> assistance is greatly appreciated, but please try to be explicit as I am
> no
> R expert. Thanks
>
> Janh
>
>
>
> On Thu, Mar 21, 2013 at 9:19 AM, David L Carlson <[4]dcarlson at
tamu.edu>
> wrote:
>
>> Your variable loc_type combines information from two variables (loc
and
>> type). Since you are subsetting on loc, why not just plot by type?
>>
>> boxplot(var1~type, data[data$loc=="nice",])
>>
>> ----------------------------------------------
>> David L Carlson
>> Associate Professor of Anthropology
>> Texas A&M University
>> College Station, TX 77843-4352
>>
>>> -----Original Message-----
>>> From: [5]r-help-bounces at r-project.org
[mailto:[6]r-help-bounces at r-
>>> [7]project.org] On Behalf Of Jim Lemon
>>> Sent: Thursday, March 21, 2013 4:05 AM
>>> To: carol white
>>> Cc: [8]r-help at stat.math.ethz.ch
>>> Subject: Re: [R] boxplot
>>>
>>> On 03/21/2013 07:40 PM, carol white wrote:
>>>> Hi,
>>>> It must be an easy question but how to boxplot a subset of
data:
>>>>
>>>> data = read.table("my_data.txt", header = T)
>>>> boxplot(data$var1[data$loc ==
"nice"]~data$loc_type[data$loc = >>> "nice"])
>>>> #in this case, i want to display only the boxplot loc ==
"nice"
>>>> #doesn't display the boxplot of only loc ==
"nice". It also displays
>>> loc == "mice"
>>>>
>>> Hi Carol,
>>> It's them old factors sneakin' up on you. Try this:
>>>
>>> boxplot(data$var1[data$loc == "nice"]~
>>> as.character(data$loc_type[data$loc == "nice"]))
>>>
>>> Jim
>>>
>>> ______________________________________________
>>> [9]R-help at r-project.org mailing list
>>> [10]https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
[11]http://www.R-project.org/posting-
>>> guide.html
>>> and provide commented, minimal, self-contained, reproducible
code.
>>
>> ______________________________________________
>> [12]R-help at r-project.org mailing list
>> [13]https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> [14]http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [15]R-help at r-project.org mailing list
> [16]https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> [17]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 [18]http://www.inbox.com/earth
_________________________________________________________________
Get Free 5GB Email ? Check out spam free email with many cool features!
Visit [19]http://www.inbox.com/email to find out more!
References
1. mailto:jrkrideau at inbox.com
2. mailto:annijanh at gmail.com
3. mailto:dcarlson at tamu.edu
4. mailto:dcarlson at tamu.edu
5. mailto:r-help-bounces at r-project.org
6. mailto:r-help-bounces at r-
7. http://project.org/
8. mailto:r-help at stat.math.ethz.ch
9. mailto:R-help at r-project.org
10. https://stat.ethz.ch/mailman/listinfo/r-help
11. http://www.R-project.org/posting-
12. mailto:R-help at r-project.org
13. https://stat.ethz.ch/mailman/listinfo/r-help
14. http://www.R-project.org/posting-guide.html
15. mailto:R-help at r-project.org
16. https://stat.ethz.ch/mailman/listinfo/r-help
17. http://www.R-project.org/posting-guide.html
18. http://www.inbox.com/earth
19. http://www.inbox.com/email