Displaying 4 results from an estimated 4 matches for "mycolour".
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mycolours
2006 Apr 27
1
losing x-label when exporting to PNG
...quot;Moosonee",
"Ottawa",
"Montr?al", "Saskatoon")
# Here we are setting the font to Bold and addin some
lines to the bottom
# margin of the graph, 6 vs default of 5, to give us
more room with the angled
# labels.
par(font=2,mar= (c(6, 4, 4, 2) + 0.1))
Mycolours <- c("red", "blue", "green", "yellow",
"orange" ,"purple")
# --------------plot to screen
--------------------------------------
mp <- barplot(Groups, beside=T ,
horiz=F , las=1, ylim=c(0,60), axisnames=F,
font.lab=2, col=My...
2010 Nov 23
1
specifying colours in a ggplot2 piechart
...don't seem to be able to use manually assigned colours.
Can anyone suggest where I'm going wrong?
Thanks
===================================================================
library(ggplot2)
mypie <- data.frame(xx = c(12,13,6,7,9,10,4, 3, 8, 6, 8, 4, 6,5,2,3),
zz = letters[1:16])
mycolours <- c(a = "red", b = "blue", c = "green", d = "orange", e = "red",
f = "blue", g = "geen", h = "orange", i = "red", j = "blue",
k = "green", l = "orange", m = "red&quo...
2008 Sep 25
2
ggplot, qplot in loop
Dear List,
yes, me again trying to work with qplot ;-)
I would like to make several single plots within a loop, like this
(simplified and so on...):
trials <- c("A","B","C")
mycolours <- ("wheat","darkolivegreen","lightgreen",
"khaki","darkseagreen","orange","chocolate4","gray75")
for (i in 1:length(trials)) {
sql <- paste("select trial, cover_of, dateofsurvey, cover
from mytab...
2008 Sep 24
1
qplot, stacked area, own colourscheme
...t;, "saddlebrown")
mycolors <- rep(mycolorscheme,3)
myplot <- qplot(dateofsurvey, wert, data=mydata, geom="area",
fill=cover_of, main = "Development of cover, ZU-316",
ylab="projective Cover[%]", xlab = "Year")
myplot + geom_area(colour = mycolours)
What am I doing wrong?
Thank you in advance,
Albin
--
| Albin Blaschka, Mag.rer.nat.
| Etrichstrasse 26, A-5020 Salzburg
| * www.albinblaschka.info * www.thinkanimal.info *
| - It's hard to live in the mountains, hard but not hopeless!