R help - Dec 2019 - Still struggling with facet_grid_paginate() from package ggforce.

I am trying to produce a ggplot2 graphic in which there is a single 
conditioning variable with a large number of levels (24).

If I use facet_grid() I get a plot with either 24 rows or 24 columns,
both of which look like hell.

I thought that facet_grid_paginate() would rescue me, but it doesn't 
seem to.  I ask for 3 rows and 4 columns, and thought that I would get 
two 3 x 4 pages  Instead I get six pages with only one row (of four 
facets) per page.

Am I misunderstanding something?  Doing something silly?  Or is this a bug?

I have attached a reproducible example, along with the data set on which 
it depends.

Grateful for any insight.

cheers,

Rolf Turner

-- 
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276

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Hello,

Here are two ways.

The first is an adaptation from your code. It uses facet_wrap_paginate, 
not *_grid_*.


plotObj2 <- vector("list",2)
for(pg in 1:2) {
   plotObj2[[pg]] <- ggplot(egDat) +
     geom_point(aes(y = obsd, x = x),
                na.rm = TRUE, shape = 20, colour = "blue") +
     geom_line(aes(y = fit2, x = cPred)) +
     facet_wrap_paginate(facets = ~Trt,
                         ncol = 4, nrow = 3, page = pg) +
     theme_bw()
}
print(plotObj2)


The second is an adaptation of SO[1]. It needs two calls to the plot 
code and it's slower but gets the job done.


g <- ggplot(egDat) +
   geom_point(aes(y = obsd, x = x),
              na.rm = TRUE, shape = 20, colour = "blue") +
   geom_line(aes(y = fit2, x = cPred)) +
   facet_wrap_paginate(facets = ~Trt, ncol = 4, nrow = 3, page = 1) +
   theme_bw()

n <- n_pages(g)
for(i in 1:n){
   print(g + facet_wrap_paginate(~Trt, ncol = 4, nrow = 3, page = i))
}

print(g)



Hope this helps,

Rui Barradas


[1] https://stackoverflow.com/a/58373858/8245406


?s 11:46 de 01/12/19, Rolf Turner escreveu:
> 
> I am trying to produce a ggplot2 graphic in which there is a single 
> conditioning variable with a large number of levels (24).
> 
> If I use facet_grid() I get a plot with either 24 rows or 24 columns,
> both of which look like hell.
> 
> I thought that facet_grid_paginate() would rescue me, but it doesn't 
> seem to.? I ask for 3 rows and 4 columns, and thought that I would get 
> two 3 x 4 pages? Instead I get six pages with only one row (of four 
> facets) per page.
> 
> Am I misunderstanding something?? Doing something silly?? Or is this a bug?
> 
> I have attached a reproducible example, along with the data set on which 
> it depends.
> 
> Grateful for any insight.
> 
> cheers,
> 
> Rolf Turner
> 
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>

On 2/12/19 10:45 am, Rui Barradas wrote:
> Hello,
> 
> Here are two ways.
> 
> The first is an adaptation from your code. It uses facet_wrap_paginate, 
> not *_grid_*.
> 
> 
> plotObj2 <- vector("list",2)
> for(pg in 1:2) {
>  ? plotObj2[[pg]] <- ggplot(egDat) +
>  ??? geom_point(aes(y = obsd, x = x),
>  ?????????????? na.rm = TRUE, shape = 20, colour = "blue") +
>  ??? geom_line(aes(y = fit2, x = cPred)) +
>  ??? facet_wrap_paginate(facets = ~Trt,
>  ??????????????????????? ncol = 4, nrow = 3, page = pg) +
>  ??? theme_bw()
> }
> print(plotObj2)
> 
> 
> The second is an adaptation of SO[1]. It needs two calls to the plot 
> code and it's slower but gets the job done.
> 
> 
> g <- ggplot(egDat) +
>  ? geom_point(aes(y = obsd, x = x),
>  ???????????? na.rm = TRUE, shape = 20, colour = "blue") +
>  ? geom_line(aes(y = fit2, x = cPred)) +
>  ? facet_wrap_paginate(facets = ~Trt, ncol = 4, nrow = 3, page = 1) +
>  ? theme_bw()
> 
> n <- n_pages(g)
> for(i in 1:n){
>  ? print(g + facet_wrap_paginate(~Trt, ncol = 4, nrow = 3, page = i))
> }
> 
> print(g)
> 
> 
> 
> Hope this helps.
Indeed it did.  You are brilliant, Rui. Problem solved.

I note that one can, I think, calculate the number of pages a priori,
thus avoiding two calls to ggplot(), in something like the following manner:

nface <- with(Dat,prod(sapply(condVars,
                        function(x){length(levels(get(x)))})))

npgs  <- ceiling(nface/(nrow*ncol))

where Dat is the data frame of data being plotted and condVars is a 
vector of the names of the variables being conditioned on (i.e. the 
variables determining the facets).  In the example that I provided,
condVars would just be "Trt", but it all seems to work in settings in 
which there is more than one conditioning variable.

Thanks very much.

cheers,

Rolf

-- 
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276