Re: [R] splom, plotmath: how to add three lines of information with alignment?

From: Marius Hofert <m_hofert_at_web.de>
Date: Wed, 20 Apr 2011 11:17:51 +0200

Dear Baptiste,

many thanks, that worked :-)

For the alignment, I made a new minimal example and posted it under the subject "grid.table + splom: how to nicely align panel entries".

Cheers,

Marius

On 2011-04-20, at 10:22 , baptiste auguie wrote:

> On 20 April 2011 19:23, Marius Hofert <m_hofert_at_web.de> wrote:

>> Dear Baptiste,
>>
>> thank you for your help. I tried to built in your suggestions into the splom.
>> Below is the result. I decided to create the plotmath-expressions outside the
>> function splom2, this will allow me later to horizontally shift (via phantom,
>> for example) the table entries so that they will be vertically aligned according
>> to the "=" signs. Although an array is allowed to contain expressions, I could
>> not manage to create it properly. Do you know a solution?
>>
>> Cheers,
>>
>> Marius
>>
>> library(lattice)
>> library(grid)
>> library(gridExtra)
>>
>> ## splom with customized lower.panel
>> ## x: data
>> ## expr.arr: array of expressions [(i,j,) entry contains expressions which are
>> ## plotted in a grid table in the lower panel (i,j)]
>> splom2 <- function(x, expr.arr){
>> ## function for creating table
>> table.fun <- function(vec){ # single values for one panel
>> grid.table(vec,
>> parse=TRUE, # parse labels as expressions
>> theme=theme.list(
>> gpar.corefill=gpar(fill=NA, col=NA), # make bg transparent
>> core.just="left") # justification of labels
>> )
>> }
>> ## splom
>> splom(x, varname.cex=1.4,
>> superpanel=function(z, ...){
>> panel.pairs(z, upper.panel=panel.splom, lower.panel=function(i,j){
>> table.fun(expr.arr[i,j,])
>> }, ...)
>> })
>> }
>>
>> ## create data and array of expressions
>> d <- 4
>> x <- matrix(runif(d*1000), ncol=d)
>> expr.arr <- array(, dim=c(d,d,3), dimnames=c("i","j","val")) # d x d x 3 elements
>> for(i in 1:d){
>> for(j in 1:d){
>> # expr.arr[i,j,] <- expression(italic(a)==0, italic(bbb)==0, italic(c)==0) # does no work
>> expr.arr[i,j,] <- c(bquote(italic(a)==.(0)), bquote(italic(bbb)==.(0)), bquote(italic(c)==.(0))) # same here
>> }
>> }
>>
>> ## plot
>> splom2(x, expr.arr)
>>
> 
> Initializing your array with a list seems to work for whatever reason
> that's well above my head,
> 
> expr.arr <- array(list(NA,NA,NA), dim=c(d,d,3), dimnames=c("i","j","val"))
> 
> As for the alignment, there should be a better way using multiple
> columns in grid.table, but parse is struggling to interpret the = sign
> on its own. Again, I'm not sure why, this is deep magic to me.
> 
> 
> library(gridExtra)
> d = matrix(c("italic(a)==phantom('')", round(pi,4),
>  "italic(b)==phantom()", round(pi,6)), ncol=2, byrow=T)
> 
> grid.table(d, parse=T,theme=theme.list(
>                  gpar.corefill=gpar(fill=NA, col=NA),
>                  core.just="left", padding.h = unit(0, "mm") ))
> 
> HTH,
> 
> baptiste
> 

>>
>> On 2011-04-20, at 01:33 , baptiste auguie wrote:
>>
>>> Hi,
>>> 
>>> You may want to wait advice from someone who actually understands (the
>>> labyrinth that is) lattice's help for splom, but the following might
>>> be a start. I didn't understand what values you actually wanted
>>> displayed in the lower triangle panels, so I made up some random ones
>>> in a 3x3 matrix of 3-vectors.
>>> 
>>> library(lattice)
>>> library(gridExtra)
>>> 
>>> info <- function(x){
>>>  grid.table(c(bquote(italic(a)==.(x[1])),
>>>               bquote(italic(b)==.(x[2])),
>>>               bquote(italic(c)==.(x[3]))),
>>>             core.just="left",
>>>             parse=TRUE)
>>> }
>>> 
>>> U <- matrix(runif(3000), ncol=3)
>>> 
>>> splom(U,
>>>     superpanel=function(z, ...){
>>>       ## dummy 3x3 matrix of 3 values to diplay
>>>       values <- replicate(9, round(rnorm(3), 3), simplify=FALSE)
>>>       dummy <- matrix(values, ncol=3, byrow=F)
>>>       panel.pairs(z, upper.panel=panel.splom,
>>>                   lower.panel=function(i, j, ...){
>>>                     print(paste(i,j)) # current panel indices
>>>                     info(dummy[i,j] [[1]]) # access the list elements
>>>                   }, ...)
>>>       })
>>> 
>>> HTH,
>>> 
>>> baptiste
>>> 
>>> 
>>> On 20 April 2011 10:17, Marius Hofert <m_hofert_at_web.de> wrote:
>>>> Dear Baptiste,
>>>> 
>>>> there is one tricky part left: how can I create a matrix with the grid.table()
>>>> objects as output? Is this possible? If not, maybe one can try to work with
>>>> panel.splom (which can address single panels and thus call info() for each
>>>> row-column index pair (i,j)), but I'm not sure if this will work.
>>>> 
>>>> Cheers,
>>>> 
>>>> Marius
>>>> 
>>>> library(lattice)
>>>> library(gridExtra)
>>>> 
>>>> splom2 <- function(x, a, b, c){
>>>>    ## function for the additional information
>>>>    info <- function(a., b., c.){ # single values for one panel
>>>>        grid.table(c(bquote(italic(a)==.(a.)),
>>>>                     bquote(italic(b)==.(b.)),
>>>>                     bquote(italic(c)==.(c.))
>>>>                     ),
>>>>                   parse=TRUE, # parse labels as expressions
>>>>                   theme=theme.list(
>>>>                   gpar.corefill=gpar(fill=NA, col=NA), # make bg transparent
>>>>                   core.just="right") # justification of labels
>>>>                   )
>>>>    }
>>>>    labs <- matrix(, nrow=ncol(x), ncol=ncol(x)) # should be a matrix of grid.table() objects
>>>>    for(i in 1:ncol(x)) for(j in 1:ncol(x)) labs[i,j] <- info(a.=a[i,j], b.=b[i,j], c.=c[i,j])
>>>>    ## splom
>>>>    splom(x, superpanel=function(z,...){
>>>>              df=data.frame(rows=as.vector(row(a)),
>>>>              columns=as.vector(col(a)), labs=as.vector(labs))
>>>>              df=subset(df,columns<rows) # subset for lower left triangle
>>>>              with(df,{
>>>>                  panel.text(x=rows, y=columns, labels=labs)
>>>>              })
>>>>              panel.pairs(z, upper.panel=panel.splom, lower.panel=function(...){}, ...)
>>>>          })
>>>> }
>>>> 
>>>> ## generate data
>>>> U <- matrix(runif(3000), ncol=3)
>>>> 
>>>> ## build information
>>>> a <- cor(U, method="kendall")
>>>> b <- diag(ncol=3, nrow=3)
>>>> c <- diag(ncol=3, nrow=3)
>>>> 
>>>> ## plot with information
>>>> splom2(U, a, b, c)
>>>> 
>>>> 
>>>> 

>>
>>


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