Displaying 5 results from an estimated 5 matches for "psavert".
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pcalert
2009 Mar 11
1
Ggplot2: saving a grid with multiple plots
...tiple plots in
it. Something like the example below. When I save that with ggsave(),
only the last plot gets saved (pPath in the example) instead of the
entire figure. Any suggestions how I can save this kind of figures
automated?
Thanks,
Thierry
library(ggplot2)
pPoint <- qplot(unemploy/pop, psavert, data=economics)
pPath <- qplot(unemploy/pop, psavert, data=economics, geom="path")
grid.newpage()
pushViewport(viewport(layout = grid.layout(2, 1)))
print(pPoint, vp = viewport(layout.pos.row = 1, layout.pos.col = 1))
print(pPath, vp = viewport(layout.pos.row = 2, layout.pos.col = 1))...
2009 May 14
1
text() to label points in ggplot
is there a way to label points in a graph using text(locator(1),"text")
after ggplot() or qplot() ?
> qplot(date, psavert, data = economics, geom = "line",main="jhdjd")->p
> p+opts(text(locator(1),"HHHH"),new=T)
does not work.
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2012 Mar 05
2
ggplot2
I just updated to R 2.14 with ggplot2 0.9 and am finding bugs.
> ggplot2 "GPL-2" "2.14.0"
This example is taken from pg 101 in the ggplot book.
> plot <- qplot(date, psavert, data = economics, geom = "line") +
> ylab("Personal savings rate") + geom_hline(xintercept = 0, colour =
> "grey50")'
> plot + scale_x_date(major = "10 years")
Error in continuous_scale(aesthetics, "date", identity, breaks = breaks, :...
2009 Jan 22
1
ggplot2 example
I need to plot two graphics just like the example below but for some reason your example crashes. Using facet_wrap seems to be the cause:
library(ggplot2)
upper <- with(economics, data.frame(date,value = psavert, position = "upper"))
upper
lower <- with(economics, data.frame(date,value = unemploy,position = "lower"))
lower
#upper$date <- as.Date(upper$date,"%m/%d/%Y")
#lower$date <- as.Date(lower$date,"%m/%d/%Y")
ggplot(mapping = aes(x=date, y=value)) + geom...
2013 Apr 14
1
Problem plotting continuous and discrete series in ggplot with facet
I have data that plots over time with four different variables. I would
like to combine them in one plot using facet_grid, where each variable gets
its own sub-plot. The following code resembles my data
require(ggplot2)
require(reshape2)
subm <- melt(economics, id='date', c('psavert','uempmed','unemploy'))
mcsm <- melt(data.frame(date=economics$date, q=quarters(economics$date)),
id='date')
mcsm$value <- factor(mcsm$value)
ggplot(subm, aes(date, value, col=variable, group=1)) + geom_line() +
facet_grid(variable~., scale='free_y') + ge...