配置 ReporteRs 以获得灰度点阵图
configure ReporteRs to get grayscale lattice plots
有没有一种方便的方法来使用 ReportRs 获得 灰度 网格图? trellis.device(color=FALSE)
这里好像不行
library(ReporteRs)
library(lattice)
trellis.device(color=FALSE) # set grayscale
p <- xyplot(decrease ~ treatment, OrchardSprays, groups = rowpos,
auto.key =list(space = "right"))
print(p) # ok, grayscale
doc = pptx("Test")
doc = addSlide(doc, "Title and Content")
doc = addPlot(doc, fun = print, x = p) # not ok, colored
writeDoc(doc, "test.pptx")
这里
而不是
使用trellis.par.set就可以了。见下文:
library(ReporteRs)
library(lattice)
p <- xyplot(decrease ~ treatment, OrchardSprays, groups = rowpos,
auto.key =list(space = "right"))
ltheme <- standard.theme(color = FALSE)
doc = pptx("Test")
doc = addSlide(doc, "Title and Content")
doc = addPlot(doc, fun = {
trellis.par.set(ltheme)
print(p)
})
writeDoc(doc, "test.pptx")
有没有一种方便的方法来使用 ReportRs 获得 灰度 网格图? trellis.device(color=FALSE)
这里好像不行
library(ReporteRs)
library(lattice)
trellis.device(color=FALSE) # set grayscale
p <- xyplot(decrease ~ treatment, OrchardSprays, groups = rowpos,
auto.key =list(space = "right"))
print(p) # ok, grayscale
doc = pptx("Test")
doc = addSlide(doc, "Title and Content")
doc = addPlot(doc, fun = print, x = p) # not ok, colored
writeDoc(doc, "test.pptx")
这里
而不是
使用trellis.par.set就可以了。见下文:
library(ReporteRs)
library(lattice)
p <- xyplot(decrease ~ treatment, OrchardSprays, groups = rowpos,
auto.key =list(space = "right"))
ltheme <- standard.theme(color = FALSE)
doc = pptx("Test")
doc = addSlide(doc, "Title and Content")
doc = addPlot(doc, fun = {
trellis.par.set(ltheme)
print(p)
})
writeDoc(doc, "test.pptx")