> where the first column is the chromosome location and the second column is
> some value. What I'd like to do is have a histogram created for each chr
> location (i.e. a separate histogram for chr1, chr2, chr3, chr7, chr9, and
> chr22). I am just having a hard time getting everything to work out
Like others have suggested, I think ggplot2 is probably the best way
to go about this, but if you'd rather use base graphics (and you never
indicated how you felt about ggplot2), you could do something like
this with tapply:
fcts <- letters[sample(9,1500,T)]
vals <- rnorm(1500)
df <- data.frame(ca
Paul Hiemstra knmi.nl> writes:
>
> Hi,
>
> When using ggplot, take a look at facet_wrap and geom_histogram.
>
> regards,
More specifically, try something along the lines of
d <- data.frame(f=factor(paste("chr",rep(c(1,2,3,7,9,22),each=50),sep="")),
v=runif(300))
library(ggplot2)
ggplo
Hi,
When using ggplot, take a look at facet_wrap and geom_histogram.
regards,
Paul
On 10/17/2011 12:14 PM, Sarah Goslee wrote:
> Hi,
>
> On Mon, Oct 17, 2011 at 8:07 AM, a217 wrote:
>> I have a dataframe in the general format:
>>
>> chr1 0.5
>> chr1 0
>> chr1 0.75
>> chr2 0
>> chr2 0
>> chr3 1
Hi,
On Mon, Oct 17, 2011 at 8:07 AM, a217 wrote:
> I have a dataframe in the general format:
>
> chr1 0.5
> chr1 0
> chr1 0.75
> chr2 0
> chr2 0
> chr3 1
> chr3 1
> chr3 0.5
> chr7 0.75
> chr9 1
> chr9 1
> chr22 0.5
> chr22 0.5
Using dput to give us some reproducible data would be even better.
I have a dataframe in the general format:
chr1 0.5
chr1 0
chr1 0.75
chr2 0
chr2 0
chr3 1
chr3 1
chr3 0.5
chr7 0.75
chr9 1
chr9 1
chr22 0.5
chr22 0.5
where the first column is the chromosome location and the second column is
some value. What I'd like to do is have a histogram created for each chr
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