[R] Stacked Bar Plot With Two Dependent Variables
Hi All, I need to construct a stacked bar plot with two independent (x) variables, where the stacking is x1 and the x-axis label is x2. Can someone help out with the code for this or provide a reference/example? Thank you, J -- View this message in context: http://r.789695.n4.nabble.com/Stacked-Bar-Plot-With-Two-Dependent-Variables-tp4676402.html Sent from the R help mailing list archive at Nabble.com. __ 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.
Re: [R] Stacked Bar Plot With Two Dependent Variables
On Tue, 17 Sep 2013, Carabiniero wrote: Hi All, I need to construct a stacked bar plot with two independent (x) variables, where the stacking is x1 and the x-axis label is x2. Can someone help out with the code for this or provide a reference/example? I'm not completely sure what exactly you are looking for but you might want to explore mosaic displays that generalize stacked barplot. For example you can do the following using the UCBAdmissions data. I treat Admit as the dependent and Gender and Dept as the explanatory variables: ## data and colors ucb - aperm(UCBAdmissions, 3:1) gr - gray.colors(2)[2:1] ## mosaic with alternating split direction mosaicplot(ucb, col = gr, off = c(5, 3, 0)) ## doubledecker style mosaicplot(ucb, col = gr, dir = c(v, v, h), off = c(6, 4, 0)) ## or using vcd package library(vcd) mosaic(~ Dept + Gender + Admit, data = UCBAdmissions, gp = gpar(fill = gr), spacing = spacing_highlighting) doubledecker(Admit ~ Dept + Gender, data = UCBAdmissions) Thank you, J -- View this message in context: http://r.789695.n4.nabble.com/Stacked-Bar-Plot-With-Two-Dependent-Variables-tp4676402.html Sent from the R help mailing list archive at Nabble.com. __ 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. __ 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.
[R] Stacked Bar Plot in ggplot2
I'm trying to develop a stacked bar plot in R with ggplot2. My data: conv = c(10, 4.76, 17.14, 25, 26.47, 37.5, 20.83, 25.53, 32.5, 16.7, 27.33) click = c(20, 42, 35, 28, 34, 48, 48, 47, 40, 30, 30) date = c(July 7, July 8, July 9, July 10, July 11, July 12, July 13, July 14, July 15, July 16, July 17) dat - data.frame(date=c(date), click=c(click), conv=c(conv), stringsAsFactors = FALSE) dat I'm trying to create a stacked bar plot with the values for Clicks in the background and the values for conversions in the forefront. I tried the following, but because the values aren't factors, it's doesn't produce the right result. p3 = ggplot(dat, aes(as.character(date))) + geom_bar(aes(fill=as.factor(conv))) + ylim(c(0,70)) + geom_bar(aes(fill = conv), position = 'fill') p3 Help! [[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.
Re: [R] Stacked Bar Plot in ggplot2
Abraham Mathew abraham at thisorthat.com writes: I'm trying to develop a stacked bar plot in R with ggplot2. My data: conv = c(10, 4.76, 17.14, 25, 26.47, 37.5, 20.83, 25.53, 32.5, 16.7, 27.33) click = c(20, 42, 35, 28, 34, 48, 48, 47, 40, 30, 30) date = c(July 7, July 8, July 9, July 10, July 11, July 12, July 13, July 14, July 15, July 16, July 17) dat - data.frame(date=c(date), click=c(click), conv=c(conv), stringsAsFactors = FALSE) Is: ggplot(dat,aes(x=date))+geom_bar(aes(y=click),fill='red')+geom_bar(aes(y=conv),fill='blue') what you're looking for? or dat.melt-melt(dat,'date') ggplot(dat.melt,aes(x=date,y=value,fill=variable))+geom_bar() Justin __ 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.
Re: [R] Stacked bar plot of frequency vs time
Thank you for the solutions! I have the first one working and it does exactly what I am looking for. Unfortunately I have to put the plot in a common figure alongside other plots made in the basic environment (challenging!). With the second method, I was unable to make the stacked bars locate to the appropriate positions along the X axis (ie the appropriate time), which, though unconventional is required for my figure. So I am still looking for a complete solution in the basic plotting environment. I have boiled my problem down to this minimal example: # Made-up data tC - textConnection( Time Type1 Type2 Type3 1.3 .50 .25 .25 4.5 .55 .25 .20 5.2 .65 .20 .15 ) data1 - read.table(header=TRUE, tC) data2 - data.frame(Time=rep(data1$Time, 3), stack(data1[,2:4])) close.connection(tC) # PLOT1 Scatterplot attach(data1) par(mar=c(1,1,1,1)) plot(Time, Type1, frame=T, ylab=Divergence, col=rgb(0,100,0,50,maxColorValue=255), main=plot 1, xlim= c(0,6), ylim= c(0, 1), axes=FALSE, xlab= ) detach(data1) # PLOT2 barplot require(lattice) attach(data2) barchart(values ~ Time, group=ind, data=data2, stack=TRUE, horizontal=FALSE, main=not there yet) plot2 - xyplot(values ~ Time, group=ind, data=data2, stack=TRUE, horizontal=FALSE, panel=panel.barchart, ylim=c(-0.05,1.05), xlim=c(0,6), main=Plot 2- how can I plot below plot1?) print(plot2) detach(data2) The only thing left is to get both plots to be vertically aligned, one above the other on the same figure. Is this possible? Thanks for all of your thoughts. Marcel Marcel -- View this message in context: http://r.789695.n4.nabble.com/Stacked-bar-plot-of-frequency-vs-time-tp3659715p3669311.html Sent from the R help mailing list archive at Nabble.com. __ 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.
[R] Stacked bar plot of frequency vs time
Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1.50 .25 .25 4.55 .25 .20 5.65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these frequencies, each bar of height = 1, subsections of bars proportional to the frequency, and each bar located at the correct X (time) position. One difficulty is that the desired spacing of bar locations on the x-axis is irregular. Is this possible in R? Many thanks, Marcel -- View this message in context: http://r.789695.n4.nabble.com/Stacked-bar-plot-of-frequency-vs-time-tp3659715p3659715.html Sent from the R help mailing list archive at Nabble.com. __ 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.
Re: [R] Stacked bar plot of frequency vs time
Marcel, tC - textConnection( Time Type1 Type2 Type3 1.50 .25 .25 4.55 .25 .20 5.65 .20 .15 ) tmp - read.table(header=TRUE, tC) close.connection(tC) require(lattice) tmpdf - data.frame(Time=rep(tmp$Time, 3), stack(tmp[,2:4])) tmpdf barchart(values ~ Time, group=ind, data=tmpdf, stack=TRUE, horizontal=FALSE, main=not there yet) xyplot(values ~ Time, group=ind, data=tmpdf, stack=TRUE, horizontal=FALSE, panel=panel.barchart, ylim=c(-0.05,1.05), xlim=c(0,6), main=this does what you want) Rich On Mon, Jul 11, 2011 at 10:36 AM, marcel marcelcur...@gmail.com wrote: Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1.50 .25 .25 4.55 .25 .20 5.65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these frequencies, each bar of height = 1, subsections of bars proportional to the frequency, and each bar located at the correct X (time) position. One difficulty is that the desired spacing of bar locations on the x-axis is irregular. Is this possible in R? Many thanks, Marcel -- View this message in context: http://r.789695.n4.nabble.com/Stacked-bar-plot-of-frequency-vs-time-tp3659715p3659715.html Sent from the R help mailing list archive at Nabble.com. __ 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.htmlhttp://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[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.
Re: [R] Stacked bar plot of frequency vs time
On Jul 11, 2011, at 9:36 AM, marcel wrote: Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1.50 .25 .25 4.55 .25 .20 5.65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these frequencies, each bar of height = 1, subsections of bars proportional to the frequency, and each bar located at the correct X (time) position. One difficulty is that the desired spacing of bar locations on the x-axis is irregular. Is this possible in R? Many thanks, Marcel In addition to Rich's solution using lattice, here is one possible approach using base graphics: dput(DF) structure(list(Time = c(1L, 4L, 5L), Type1 = c(0.5, 0.55, 0.65 ), Type2 = c(0.25, 0.25, 0.2), Type3 = c(0.25, 0.2, 0.15)), .Names = c(Time, Type1, Type2, Type3), class = data.frame, row.names = c(NA, -3L)) DF Time Type1 Type2 Type3 11 0.50 0.25 0.25 24 0.55 0.25 0.20 35 0.65 0.20 0.15 # Create a newdata frame with a column with the full Time sequence TimeFill - data.frame(Time = with(DF, min(Time):max(Time))) TimeFill Time 11 22 33 44 55 # merge the full sequence and the original DF together. See ?merge DF2 - merge(DF, TimeFill, all = TRUE) DF2 Time Type1 Type2 Type3 11 0.50 0.25 0.25 22NANANA 33NANANA 44 0.55 0.25 0.20 55 0.65 0.20 0.15 # Now transpose the columns in DF to the matrix required for the plot barplot(t(DF2[, -1]), names.arg = DF2$Time) HTH, Marc Schwartz __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] stacked bar plot
Many thanks!! That's a million times easier!! :-)
All the best,
Chandra
From: istaz...@gmail.com on behalf of Ista Zahn
Sent: Wed 3/23/2011 12:06 PM
To: Chandra Salgado Kent
Cc: r-help@r-project.org
Subject: Re: [R] stacked bar plot
FWIW, the ggplot option I suggested works fine with sums instead of means...
library(ggplot2)
.Table-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
ggplot(.Table, aes(Group_size, Number, fill=Sex)) +
geom_bar(stat=summary, fun.y=sum)
Best,
Ista
On Wed, Mar 23, 2011 at 3:21 AM, Chandra Salgado Kent
c.salg...@cmst.curtin.edu.au wrote:
Hello,
Many thanks for your responses! They were very helpful.
FYI, ggplot didn't work for me because I needed the sum of the values.
The fudged option of barplot was very helpful. Since my matrix is extremely
large (the example is a subset), and I would need to take a lot of time to
insert NAs everywhere as you did, I used the main idea you sent but instead
did summed over group sizes. I'm sure this is far from the most efficient way
of doing this, but it was the only way I found for my very large matrix.
Thanks again!!
Here is my solution:
#-
.Table-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
#I separated the females first, and ordered them by group size
Females-subset(.Table, Sex==F)
.Order-order(Females$Group_size)
FemalesF-rbind(Females$Group_size, Females$Number)[,.Order]
FemalesF-t(FemalesF)
#I then deleted any NAs which I had in my database, then summed Number for
each Group_size and converted it to a matrix
Females1 - FemalesF[complete.cases(FemalesF[,2]),]
Females2-by(FemalesF,FemalesF[,1], FUN = function(x){
sum(x[,2]) })
Females3-matrix(Females2)
#I then did the same for the males
Males-subset(.Table, Sex==M)
.Order-order(Males$Group_size)
MalesF-rbind(Males$Group_size, Males$Number)[,.Order]
MalesF-t(MalesF)
Males1 - MalesF[complete.cases(MalesF[,2]),]
Males2-by(MalesF,MalesF[,1], FUN = function(x){
sum(x[,2]) })
Males3-matrix((Males2))
#I then followed your example in forming a matrix of males and females
suitable for barplot and plotted the data
.Matrix-matrix(c(Females3,Males3),ncol=2)
.Matrix-t(.Matrix)
barplot(.Matrix,col=c(pink,lightblue),
names.arg=c(1:3),xlab=Group size,ylab=Number,main=Group Sex)
legend(10,60,c(Male,Female),fill=c(lightblue,pink))
#
Chandra
From: Jim Lemon [mailto:j...@bitwrit.com.au]
Sent: Tue 3/22/2011 5:55 PM
To: Chandra Salgado Kent
Cc: r-help@r-project.org
Subject: Re: [R] stacked bar plot
On 03/22/2011 06:30 PM, Chandra Salgado Kent wrote:
Hello,
I'm wondering if someone may be able to help me, and do apologize if there
is a simple and obvious solution for this. I am somewhat new to R, and have
been searching for a simple solution for a couple of days.
I am interested in finding a tool that allows me to plot a stacked bar plot.
My data set is in the following format:
data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
I would like to have the factor Sex stacked, Group size as a Factor on
the X axis, and Number on the Y axis (summed so that there is only one
value for each Sex by Group_size combination).
Hi Chandra,
It's a bit hard to work out exactly what you want, but try this:
barplot(matrix(c(10,3,NA,1,2,3),ncol=2),col=c(lightblue,pink,pink),
names.arg=1:2,xlab=Group size,ylab=Number,main=Group Sex)
legend(1.6,8,c(Male,Female),fill=c(lightblue,pink))
now I have fudged a bit by just making the matrix contain the values in
the right order, but if the barplot is what you want, it could get you
started.
Jim
[[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.
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org http://yourpsyche.org/
[[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.
Re: [R] stacked bar plot
You can use the tapply function to sum within combinations, then pass the results to barplot (possibly doing a reshape first). Also look at the ggplot2 package, it may do the summing as part of the plot call and probably does not need the reshape step. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- project.org] On Behalf Of Chandra Salgado Kent Sent: Tuesday, March 22, 2011 1:30 AM To: r-help@r-project.org Subject: [R] stacked bar plot Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format: data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3), Group_size=c(1,1,2,2,2)) I would like to have the factor Sex stacked, Group size as a Factor on the X axis, and Number on the Y axis (summed so that there is only one value for each Sex by Group_size combination). Many, many thanks for any help you may be able to offer! Chandra [[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. __ 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.
Re: [R] stacked bar plot
--- On Wed, 3/23/11, Greg Snow greg.s...@imail.org wrote: From: Greg Snow greg.s...@imail.org Subject: Re: [R] stacked bar plot To: Chandra Salgado Kent c.salg...@cmst.curtin.edu.au, r-help@r-project.org r-help@r-project.org Also look at the ggplot2 package, it may do the summing as part of the plot call and probably does not need the reshape step. If I'm reading Hadley's book correctly that is what it does if you have summarized data you need to explictly disable the reshape -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- project.org] On Behalf Of Chandra Salgado Kent Sent: Tuesday, March 22, 2011 1:30 AM To: r-help@r-project.org Subject: [R] stacked bar plot Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format: data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3), Group_size=c(1,1,2,2,2)) I would like to have the factor Sex stacked, Group size as a Factor on the X axis, and Number on the Y axis (summed so that there is only one value for each Sex by Group_size combination). Many, many thanks for any help you may be able to offer! Chandra [[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. __ 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. __ 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.
[R] stacked bar plot
Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format: data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3), Group_size=c(1,1,2,2,2)) I would like to have the factor Sex stacked, Group size as a Factor on the X axis, and Number on the Y axis (summed so that there is only one value for each Sex by Group_size combination). Many, many thanks for any help you may be able to offer! Chandra [[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.
Re: [R] stacked bar plot
On 03/22/2011 06:30 PM, Chandra Salgado Kent wrote: Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format: data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3), Group_size=c(1,1,2,2,2)) I would like to have the factor Sex stacked, Group size as a Factor on the X axis, and Number on the Y axis (summed so that there is only one value for each Sex by Group_size combination). Hi Chandra, It's a bit hard to work out exactly what you want, but try this: barplot(matrix(c(10,3,NA,1,2,3),ncol=2),col=c(lightblue,pink,pink), names.arg=1:2,xlab=Group size,ylab=Number,main=Group Sex) legend(1.6,8,c(Male,Female),fill=c(lightblue,pink)) now I have fudged a bit by just making the matrix contain the values in the right order, but if the barplot is what you want, it could get you started. Jim __ 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.
Re: [R] stacked bar plot
Hi Chandra, You could use ggplot2: library(ggplot2) ggplot(dat, aes(Group_size, Number, fill=Sex)) + geom_bar(stat=summary, fun.y=mean) Best, Ista On Tue, Mar 22, 2011 at 7:30 AM, Chandra Salgado Kent c.salg...@cmst.curtin.edu.au wrote: Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format: data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3), Group_size=c(1,1,2,2,2)) I would like to have the factor Sex stacked, Group size as a Factor on the X axis, and Number on the Y axis (summed so that there is only one value for each Sex by Group_size combination). Many, many thanks for any help you may be able to offer! Chandra [[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. -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org __ 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.
Re: [R] stacked bar plot
Hello,
Many thanks for your responses! They were very helpful.
FYI, ggplot didn't work for me because I needed the sum of the values.
The fudged option of barplot was very helpful. Since my matrix is extremely
large (the example is a subset), and I would need to take a lot of time to
insert NAs everywhere as you did, I used the main idea you sent but instead did
summed over group sizes. I'm sure this is far from the most efficient way of
doing this, but it was the only way I found for my very large matrix.
Thanks again!!
Here is my solution:
#-
.Table-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
#I separated the females first, and ordered them by group size
Females-subset(.Table, Sex==F)
.Order-order(Females$Group_size)
FemalesF-rbind(Females$Group_size, Females$Number)[,.Order]
FemalesF-t(FemalesF)
#I then deleted any NAs which I had in my database, then summed Number for each
Group_size and converted it to a matrix
Females1 - FemalesF[complete.cases(FemalesF[,2]),]
Females2-by(FemalesF,FemalesF[,1], FUN = function(x){
sum(x[,2]) })
Females3-matrix(Females2)
#I then did the same for the males
Males-subset(.Table, Sex==M)
.Order-order(Males$Group_size)
MalesF-rbind(Males$Group_size, Males$Number)[,.Order]
MalesF-t(MalesF)
Males1 - MalesF[complete.cases(MalesF[,2]),]
Males2-by(MalesF,MalesF[,1], FUN = function(x){
sum(x[,2]) })
Males3-matrix((Males2))
#I then followed your example in forming a matrix of males and females suitable
for barplot and plotted the data
.Matrix-matrix(c(Females3,Males3),ncol=2)
.Matrix-t(.Matrix)
barplot(.Matrix,col=c(pink,lightblue),
names.arg=c(1:3),xlab=Group size,ylab=Number,main=Group Sex)
legend(10,60,c(Male,Female),fill=c(lightblue,pink))
#
Chandra
From: Jim Lemon [mailto:j...@bitwrit.com.au]
Sent: Tue 3/22/2011 5:55 PM
To: Chandra Salgado Kent
Cc: r-help@r-project.org
Subject: Re: [R] stacked bar plot
On 03/22/2011 06:30 PM, Chandra Salgado Kent wrote:
Hello,
I'm wondering if someone may be able to help me, and do apologize if there is
a simple and obvious solution for this. I am somewhat new to R, and have been
searching for a simple solution for a couple of days.
I am interested in finding a tool that allows me to plot a stacked bar plot.
My data set is in the following format:
data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
I would like to have the factor Sex stacked, Group size as a Factor on
the X axis, and Number on the Y axis (summed so that there is only one
value for each Sex by Group_size combination).
Hi Chandra,
It's a bit hard to work out exactly what you want, but try this:
barplot(matrix(c(10,3,NA,1,2,3),ncol=2),col=c(lightblue,pink,pink),
names.arg=1:2,xlab=Group size,ylab=Number,main=Group Sex)
legend(1.6,8,c(Male,Female),fill=c(lightblue,pink))
now I have fudged a bit by just making the matrix contain the values in
the right order, but if the barplot is what you want, it could get you
started.
Jim
[[alternative HTML version deleted]]
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Re: [R] stacked bar plot
FWIW, the ggplot option I suggested works fine with sums instead of means...
library(ggplot2)
.Table-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
ggplot(.Table, aes(Group_size, Number, fill=Sex)) +
geom_bar(stat=summary, fun.y=sum)
Best,
Ista
On Wed, Mar 23, 2011 at 3:21 AM, Chandra Salgado Kent
c.salg...@cmst.curtin.edu.au wrote:
Hello,
Many thanks for your responses! They were very helpful.
FYI, ggplot didn't work for me because I needed the sum of the values.
The fudged option of barplot was very helpful. Since my matrix is extremely
large (the example is a subset), and I would need to take a lot of time to
insert NAs everywhere as you did, I used the main idea you sent but instead
did summed over group sizes. I'm sure this is far from the most efficient way
of doing this, but it was the only way I found for my very large matrix.
Thanks again!!
Here is my solution:
#-
.Table-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
#I separated the females first, and ordered them by group size
Females-subset(.Table, Sex==F)
.Order-order(Females$Group_size)
FemalesF-rbind(Females$Group_size, Females$Number)[,.Order]
FemalesF-t(FemalesF)
#I then deleted any NAs which I had in my database, then summed Number for
each Group_size and converted it to a matrix
Females1 - FemalesF[complete.cases(FemalesF[,2]),]
Females2-by(FemalesF,FemalesF[,1], FUN = function(x){
sum(x[,2]) })
Females3-matrix(Females2)
#I then did the same for the males
Males-subset(.Table, Sex==M)
.Order-order(Males$Group_size)
MalesF-rbind(Males$Group_size, Males$Number)[,.Order]
MalesF-t(MalesF)
Males1 - MalesF[complete.cases(MalesF[,2]),]
Males2-by(MalesF,MalesF[,1], FUN = function(x){
sum(x[,2]) })
Males3-matrix((Males2))
#I then followed your example in forming a matrix of males and females
suitable for barplot and plotted the data
.Matrix-matrix(c(Females3,Males3),ncol=2)
.Matrix-t(.Matrix)
barplot(.Matrix,col=c(pink,lightblue),
names.arg=c(1:3),xlab=Group size,ylab=Number,main=Group Sex)
legend(10,60,c(Male,Female),fill=c(lightblue,pink))
#
Chandra
From: Jim Lemon [mailto:j...@bitwrit.com.au]
Sent: Tue 3/22/2011 5:55 PM
To: Chandra Salgado Kent
Cc: r-help@r-project.org
Subject: Re: [R] stacked bar plot
On 03/22/2011 06:30 PM, Chandra Salgado Kent wrote:
Hello,
I'm wondering if someone may be able to help me, and do apologize if there
is a simple and obvious solution for this. I am somewhat new to R, and have
been searching for a simple solution for a couple of days.
I am interested in finding a tool that allows me to plot a stacked bar plot.
My data set is in the following format:
data-data.frame(Sex=c(M,F,M,F,F), Number=c(10,3,1,2,3),
Group_size=c(1,1,2,2,2))
I would like to have the factor Sex stacked, Group size as a Factor on
the X axis, and Number on the Y axis (summed so that there is only one
value for each Sex by Group_size combination).
Hi Chandra,
It's a bit hard to work out exactly what you want, but try this:
barplot(matrix(c(10,3,NA,1,2,3),ncol=2),col=c(lightblue,pink,pink),
names.arg=1:2,xlab=Group size,ylab=Number,main=Group Sex)
legend(1.6,8,c(Male,Female),fill=c(lightblue,pink))
now I have fudged a bit by just making the matrix contain the values in
the right order, but if the barplot is what you want, it could get you
started.
Jim
[[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.
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
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[R] Stacked Bar Plot
Hi R Folks, I need to plot a stacked bar plot with row labels as A,B,C,... and each bar divided by x,y, Here is the data: x y A 1 .5 B -.2 .6 C .3 -.7 D .4 .8 (for e.g. x,y,... could be air pollutants and A,B,C,... could be months) Issue 1) It has negative values. Issue 2) It contain two categorical variables. Can anyone help me? Thanks, Gary [[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.
Re: [R] Stacked Bar Plot
On Nov 20, 2009, at 6:54 PM, Gary wrote: Hi R Folks, I need to plot a stacked bar plot with row labels as A,B,C,... and each bar divided by x,y, Here is the data: x y A 1 .5 B -.2 .6 C .3 -.7 D .4 .8 (for e.g. x,y,... could be air pollutants and A,B,C,... could be months) At the moment the letters appear to be labels. Issue 1) It has negative values. Issue 2) It contain two categorical variables. It??? (In my opinion, the indefinite pronoun should be severely deprecated in technical discourse.) Can anyone help me? RSiteSearch(stacked barplot) # 44 hits Thanks, Gary and provide commented, minimal, self-contained, reproducible code. David Winsemius, MD Heritage Laboratories West Hartford, CT __ 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.
Re: [R] Stacked Bar Plot
tmp - cbind(x=c(1,-.2,.3,.4), y=c(.5,.6,-.7,.8)) row.names(tmp) - letters[1:4] barchart(tmp, horizontal=FALSE, stack=TRUE, auto.key=list( title=pollutant, border=TRUE), xlab=Month, main=Interesting Plot) barchart(tmp, horizontal=FALSE, stack=TRUE, auto.key=list( title=pollutant, cex.title=1.2, border=TRUE), xlab=Month, ylab=something else, main=Interesting Plot) __ 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.
Re: [R] Stacked bar plot anomaly When column contains a negative and a positive value
On 03/05/2008 3:29 PM, Murray Richardson wrote: Hello users, I've noticed a problem when creating a stacked column plot when a column contains a negative and a positive value. e.g. series1-c(-1,-2, 3, 4, 5) series2-c( 5, -4,-3,-2, 1) data-rbind(series1,series2) barplot(as.matrix(data), beside=FALSE) In these cases (i.e. first, third and fifth columns) the plotting is not handled correctly. Compare this output with that of: It doesn't make sense to stack values with mixed signs, but what barplot does appears to make sense. The first column has a bar of length -1 overplotted with a bar of length 5, which completely obscures it. What would you expect it to do? Duncan Murdoch barplot(as.matrix(data), beside=TRUE) Shouldn't the plots look the same except in the beside=FALSE scenario the constituent bars should not be juxtaposed but instead are one on top of the other? Thanks for any advice! Murray Richardson __ 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. __ 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.
[R] Stacked bar plot anomaly When column contains a negative and a positive value
Hello all Please ignore this last post as I now realize it is because the stacked components are summed, as they should be. I needed the columns to be stacked but not summed so just plotted the two series separately with add=T Sorry... Murray Richardson Original Message Subject: Stacked bar plot anomaly When column contains a negative and a positive value Date: Sat, 03 May 2008 15:29:41 -0400 From: Murray Richardson [EMAIL PROTECTED] To: r-help@R-project.org Hello users, I've noticed a problem when creating a stacked column plot when a column contains a negative and a positive value. e.g. series1-c(-1,-2, 3, 4, 5) series2-c( 5, -4,-3,-2, 1) data-rbind(series1,series2) barplot(as.matrix(data), beside=FALSE) In these cases (i.e. first, third and fifth columns) the plotting is not handled correctly. Compare this output with that of: barplot(as.matrix(data), beside=TRUE) Shouldn't the plots look the same except in the beside=FALSE scenario the constituent bars should not be juxtaposed but instead are one on top of the other? Thanks for any advice! Murray Richardson __ 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.
