Thank you Thierry! That was very helpfull
I have added "geom_point" which makes the lineending look more round.
Also - since the chart becomes verye clustered I also added text to
the right.
like so:
ggplot(df, aes(x = tal, y = value, label = text, group = text, size =
size, col = Change))+
geom_line()+
geom_text(data = subset(df, tal=="tal1"),size=3, hjust=1, vjust=0)+
geom_text(data = subset(df, tal=="tal2"),hjust=-1, size=3)+
geom_point() + scale_x_discrete("Change from time to time") +
scale_y_continuous("Points") +
theme_bw()+
opts(legend.position="none")+
opts(title="As time went by")+
opts(plot.title=theme_text(vjust=0,size=20))+
scale_colour_manual(values = c("red", "black", "blue"))
Thanks for all your help!
On Thu, May 7, 2009 at 1:17 PM, ONKELINX, Thierry
<thierry.onkel...@inbo.be> wrote:
> Dear Andreas and Mike,
>
> You need to use scale_colour_manual() if you want to set the colours
> yourself. Ggplot2 interpretes the "col" variable in the dataset as an
> ordinairy factor.
>
> library(ggplot2)
> df0 <- data.frame(text = letters[1:21], tal1 = c(rnorm (20,5,2), 5), tal2 =
> c(rnorm (20,6,3), 5))
> df0$dif <- df0$tal2 - df0$tal1
> df <- melt(data = df0, id.vars = c('text', 'dif'), variable_name = 'tal')
> df$Change <- factor(ifelse(df$dif>0,'Up',ifelse(df$dif<0,'Down','Stable')),
> levels = c("Up", "Stable", "Down"))
> df$size <- abs(df$dif)
> ggplot(df, aes(x = tal, y = value, label = text, group = text, size = size,
> col = Change)) + geom_line() + geom_text(data = subset(df, tal=="tal1"),
> size=3, hjust=2, vjust=0) + scale_x_discrete("Change from time to time") +
> scale_y_continuous("Points") + theme_bw()+ opts(legend.position="none")+
> opts(title="As time went by\n") +opts(plot.title=theme_text(vjust=0,size=20))
> + scale_colour_manual(values = c("red", "black", "blue"))
>
> HTH,
>
> Thierry
>
> ----------------------------------------------------------------------------
> ir. Thierry Onkelinx
> Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
> Forest
> Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
> methodology and quality assurance
> Gaverstraat 4
> 9500 Geraardsbergen
> Belgium
> tel. + 32 54/436 185
> thierry.onkel...@inbo.be
> www.inbo.be
>
> To call in the statistician after the experiment is done may be no more than
> asking him to perform a post-mortem examination: he may be able to say what
> the experiment died of.
> ~ Sir Ronald Aylmer Fisher
>
> The plural of anecdote is not data.
> ~ Roger Brinner
>
> The combination of some data and an aching desire for an answer does not
> ensure that a reasonable answer can be extracted from a given body of data.
> ~ John Tukey
>
> -----Oorspronkelijk bericht-----
> Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> Namens Andreas Christoffersen
> Verzonden: donderdag 7 mei 2009 12:22
> Aan: Mike Lawrence; r-help@r-project.org; ggpl...@googlegroups.com
> Onderwerp: Re: [R] Bumps chart in R
>
> On Thu, May 7, 2009 at 2:15 AM, Mike Lawrence <mike.lawre...@dal.ca> wrote:
>> (cross posting to the ggplot2 group for posterity)
>>
>> Here's how I'd approach it:
>>
>> library(ggplot2)
>> text = letters[1:20]
>> tal1 = rnorm (20,5,2)
>> tal2 = rnorm (20,6,3)
>> dif = tal2-tal1
>> df0 = data.frame(text,tal1,tal2)
>> df = melt(
>> data = df0
>> , id.vars = 'text'
>> , variable_name = 'tal'
>> )
>> df$dif = dif
>> df$col = ifelse(dif>0,'red',ifelse(dif<0,'blue','black'))
>> df$size = abs(dif)
>>
>> # draw the plot
>>
>> Unfortunately it's not perfect:
>> (1) col isn't being interpreted literally, so instead of truly red & blue.
>> (2) the lines ends are square whereas usually they're rounded.
>> (3) attempting to remove the legend via opts(legend.position="none")
>> seems to fail.
>>
>
> Thank you
>
> with your melted data I was able to come very close to what I want.
> legen.posistion="none" works for me... Annonying that colours don't
> work like expected... It seams to be a frequent concern.
>
> My code:
> qplot(tal,value,data=df,group=text,geom="line",size=size,colour=col,xlab="Change
> from time to time", ylab = "Points")+
> geom_text(aes(label=text),subset(df,tal=="tal1"),size=3,hjust=2,vjust=0)+
> theme_bw()+ opts(legend.position="none")+ opts(title="As time went
> by") +opts(plot.title=theme_text(vjust=0,size=20))
>
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