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NEWS

• 0.2.6
  • Update
  • Add
• 0.2.2
  • Update
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0.2.6

Update

Collapse internal files to run the module and gadget from same base script.

Reorganize BS Modals to have columns by object type.

Change plot.ggedit be a print.ggedit method.

shinyBS js library dependencies loaded with package, this lets ggedit run on attachment. i.e. ggedit::ggedit(p)

Add

margins can be edited in the theme UI

+.gg functionality added to gglist class to manipulate to multiple plots in layout

as.gglist(list(pList[[1]],pList[[3]])) + 
  geom_hline(yintercept=3:4,linetype=2) + 
  theme_minimal()+
  theme(legend.position = 'top')

gg_session retreives all functions that create ggroto layers or stats in current loaded namespace and returns unique mapping to their position,geom,stat.

gg_session()

gg_vetting returns the columns from gg_session relevant to a compiled plot

gg_vetting(pList$pointSmooth)

ggedit_opts functionality to control session levels options (like knitr::opts_chunk). This can be used to manipulate the package defaults like the theme tips seen in BS modals. It is also used to store an updated output of gg_session, so ggedit can identify the correct mapping with gg_extension pacakges (eg ggalt).

library(ggalt)
 
ggedit_opts$set(list(session_geoms=gg_session()))
 
ggedit_opts$get('session_geoms')

manipulate gg_extension pacakges (still in development, but works for a lot of the ggplot2 extension packages)

dput.ggedit returns dput for ggplot2 object in script form and not a structure.

pList$pointSmooth #original compiled plot
this.gg <- dput.ggedit(pList$pointSmooth) #dput the plot
writeLines(this.gg) #show the output
eval(parse(text=this.gg)) #recompile the plot

summary.ggedit method for ggedit class return script that created compiled gg object.

out <- ggedit(pList[1:2])
#assuming out is returned from ggedit
summary(out)
 
# point
# ggplot(mapping=aes(x=Sepal.Length,y=Sepal.Width),[data.frame])+
# geom_point(aes(colour=Species),size=6)
# 
# pointWrap
# ggplot(mapping=aes(x=Sepal.Length,y=Sepal.Width),[data.frame])+
# geom_point(aes(colour=Species),size=6)+
# facet_wrap(facets=~Species,shrink=TRUE)

0.2.2

Update

• Change mutate_each with mutate_all to be compatible with new dplyr release

Add

- can pass functions into stat_summary, eg `stat_summary(fun.y=mean_sd, geom='point')`
- data.frames in layers are embedded as structures in verbose outputs, e.g. `geom_point(data=mtcars, aes(cyl, mpg))` will return
```r
[1] "geom_point(mapping=aes(x=cyl,y=mpg), data=structure(list(mpg = c(21, 21, 22.8, 21.4, 18.7, 18.1, 14.3,
24.4, 22.8, 19.2, 17.8, 16.4, 17.3, 15.2, 10.4, 10.4, 14.7, 32.4,.. <truncated>
```
- aesthetic can be set to NULL, ie aes(group=NULL)

Reference manual