search for: reddish

...<- outer(x,y, function(x,y) x^2 + y^2 ) zmat <- matrix( rexp(n=400, rate = z+0.001), 20, 20) filled.contour(x, y, log(zmat), xlab="X", ylab="Y", color=heat.colors, main="log-Hazard ratios for different X & Y cutoffs") Here lower hazard-ratios are reddish and higher values are lighter. I would like to reverse the color palette "heat.colors" such that higher hazard ratios are reddish and lower values are lighter. Can any one suggest an easy way to do this? Also, suggestions on better ways to display this information would be greatly...

...of plotting a typical linear graphic with precipitation on the y-axis and the months in the x-axys, I would like to "convert" the values of precipitation in a color gradient, resulting in a vertical gradient throughout the x-axis. In this way, months with higher precipitation would appear reddish while lower precipitation would appear blueish, for example. Despite being a simple problem (basically converting the y-values in a color gradient), I have failed to find a way of doing this. If someone knows how to solve this, either using R or other program, please lend me a hand. Thanks for y...

...t ("#D55E00") (number 7) I get *col2rgb("#D55E00"* [,1] red 213 green 94 blue 0 *points(7,0.25,col=rgb(rgb(213,94,0)),pch=19,cex=2)* gives me an error message and although if I divide through *points(7,0.25,col=rgb(213/307,94/307,0),pch=19,cex=2)* gives me a reddish dot, but not the same as in the colour-blind palette Somewhat mystified. Can anyone help?? Thanks Nick Wray [[alternative HTML version deleted]]

...een 94 > > > > blue 0 > > > > *points(7,0.25,col=rgb(rgb(213,94,0)),pch=19,cex=2)* > > > > gives me an error message and although if I divide through > > > > *points(7,0.25,col=rgb(213/307,94/307,0),pch=19,cex=2)* > > > > gives me a reddish dot, but not the same as in the colour-blind palette > > > > > > > > Somewhat mystified. Can anyone help?? Thanks Nick Wray > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at...

...; [,1] > > red 213 > > green 94 > > blue 0 > > *points(7,0.25,col=rgb(rgb(213,94,0)),pch=19,cex=2)* > > gives me an error message and although if I divide through > > *points(7,0.25,col=rgb(213/307,94/307,0),pch=19,cex=2)* > > gives me a reddish dot, but not the same as in the colour-blind palette > > > > Somewhat mystified. Can anyone help?? Thanks Nick Wray > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE...

...> blue 0 >>> >>> *points(7,0.25,col=rgb(rgb(213,94,0)),pch=19,cex=2)* >>> >>> gives me an error message and although if I divide through >>> >>> *points(7,0.25,col=rgb(213/307,94/307,0),pch=19,cex=2)* >>> >>> gives me a reddish dot, but not the same as in the colour-blind palette >>> >>> >>> >>> Somewhat mystified. Can anyone help?? Thanks Nick Wray >>> >>> [[alternative HTML version deleted]] >>> >>> ___________________________________________...

...> blue 0 >>> >>> *points(7,0.25,col=rgb(rgb(213,94,0)),pch=19,cex=2)* >>> >>> gives me an error message and although if I divide through >>> >>> *points(7,0.25,col=rgb(213/307,94/307,0),pch=19,cex=2)* >>> >>> gives me a reddish dot, but not the same as in the colour-blind palette >>> >>> >>> >>> Somewhat mystified. Can anyone help?? Thanks Nick Wray >>> >>> [[alternative HTML version deleted]] >>> >>> __________________________________________...

Hi: # How can I extract the 'Forecasts' from the 'summary(predicted)' from the example below? library(forecast) weightData <- data.frame(weight = c(2.1,2.4,2.8,3.6,4.1,5.2,6.3),week= 1:7) weight <- as.numeric(weightData$weight) predicted <- forecast(weight,h=3,level=95) # see the predicted summary(predicted) # I would like to extract the three predicted values and #

...that connect to the given entity to be loaded. E.g. I have entities Jane and Marco, and traits Height (with values Short, Medium, and Tall) and HairColor (with values Red, Brown, and Black). Key factors connect an entity with a trait value and an additional descriptor; if Jane is very tall and has reddish-brown hair there would be three key factors Jane-Tall(Height)-Very, Jane-Red (HairColor)-Somewhat, and Jane-Brown(HairColor)-Somewhat. I want an admin to be able to specify / alter the key factors, so I need to show all the trait values and also the current key factors if they exist. For entity Ja...