Displaying 4 results from an estimated 4 matches for "loesing".
2010 Jul 07
0
ggplot2 version 0.8.8
...reported by Seth Finnegan)
* geom_line: can now stack lines again with position = "stack" (fixes #74)
* geom_segment: arrows now preserved in non-Cartesian coordinate
system (fixes #117)
* geom_smooth now deals with missing values in the same way as
geom_line (thanks to patch from Karsten Loesing)
* guides: check all axis labels for expressions (reported by Benji Oswald)
* guides: extra 0.5 line margin around legend (fixes #71)
* guides: non-left legend positions now work once more (thanks to
patch from Karsten Loesing)
* label_bquote works with more expressions (factors now cast to
charact...
2010 Jul 07
0
ggplot2 version 0.8.8
...reported by Seth Finnegan)
* geom_line: can now stack lines again with position = "stack" (fixes #74)
* geom_segment: arrows now preserved in non-Cartesian coordinate
system (fixes #117)
* geom_smooth now deals with missing values in the same way as
geom_line (thanks to patch from Karsten Loesing)
* guides: check all axis labels for expressions (reported by Benji Oswald)
* guides: extra 0.5 line margin around legend (fixes #71)
* guides: non-left legend positions now work once more (thanks to
patch from Karsten Loesing)
* label_bquote works with more expressions (factors now cast to
charact...
2010 May 30
2
geom_ribbon removes missing values
Hi everyone,
it looks like geom_ribbon removes missing values and plots a single
ribbon over the whole interval of x values. However, I'd rather want it
to act like geom_line, that is, interrupt the ribbon for the interval of
missing values and continue once there are new values. Here's an example:
library(ggplot2)
df <- data.frame(
date = seq(from = as.Date("2010-05-15"),
2010 Jun 07
1
Patch for legend.position={left,top,bottom} in ggplot2
Hi Hadley and everyone,
here's a patch for ggplot2 that fixes the behavior of
opts(legend.position={left,top,bottom}). If you try the following code
in an unmodified ggplot2
options(warn = -1)
suppressPackageStartupMessages(library("ggplot2"))
data <- data.frame(
x = c(1, 2, 3, 4, 5, 6),
y = c(2, 3, 4, 3, 4, 5),
colour = c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE))