Displaying 4 results from an estimated 4 matches for "yy2".
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2008 Feb 12
2
shaded area graph and extra plot
...How can this be sorted out?
Thanks in advance
#############################################
plot.new()
plot.window(xlim=c(1993,2008), xaxs="i", ylim=c(0,400), yaxs="i")
x=1994:2007
xx = c(1994, x, 2007)
yy1 = c(0, indexSp[,"Xhat5Sp"]+indexSp[,"seA"], 0 )
yy2 = c(0, indexSp[,"Xhat5Sp"]-indexSp[,"seA"], 0 )
polygon(xx, yy1, col="grey", lty=0)
polygon(xx, yy2, col="white", lty=0)
lines(x, indexSp[,"Xhat5Sp"], type="l")
axis(1)
axis(2)
par(new=T)
plot(1996:2007, c(0,0,indexSu[,"Xhat5Su&quo...
1999 Feb 16
1
Missing tick marks bug on alpha solved
...lot(0:1,axes=FALSE)
> axis(1,1:2)
The problem is in X11_Line(...) from .../src/unix/devX11.c, which is
so short I've included the whole function below:
static void X11_Line(double x1, double y1, double x2, double y2,
int coords, DevDesc *dd)
{
double xx1, yy1, xx2, yy2; <----------- should be int!
x11Desc *xd = (x11Desc *) dd->deviceSpecific;
/* In-place conversion ok */
GConvert(&x1, &y1, coords, DEVICE, dd);
GConvert(&x2, &y2, coords, DEVICE, dd);
xx1 = (int) x1;
yy1 = (int) y1;
xx2 = (int) x2;...
2011 Mar 19
1
strange PREDICTIONS from a PIECEWISE LINEAR (mixed) MODEL
...-as.character(c(1:200))
id<-sample(g,size=1000,replace=T,
prob=sample(0:1,200,rep=T))
table(id) #unbalanced
mod2<-lme(y~x+x*(x>-1),random=~x|id,
data=data.frame(x,y,id))
summary(mod2)
newframe<-data.frame( #fictious id
id="fictious",
x)
newframe[1:5,]
#predictions
yy2<-predict(mod2,level=0, newdata=newframe)
lines(x[order(x)],yy2[order(x)],col="blue",lwd=2)
# add variable in the model
z<-rgamma(1000,4,6)
mod3<-lme(y~x+x*(x>-1)+z
,random=~x|id,
data=data.frame(x,y,z,id))
summary(mod3)
#new id
newframe2<-data.frame( #fictious i...
2010 Dec 09
4
Sequence generation in a table
Dear R helpers
I have following input
f = c(257, 520, 110). I need to generate a decreasing sequence (decreasing by 100) which will give me an input (in a tabular form) like
257, 157, 57
520, 420, 320, 220, 120, 20
110, 10
I tried the following R code
f = c(257, 520, 110)
yy = matrix(data = NA, nrow = 3, ncol = 6)
for (i in 1:3)
{
value = NULL
for (j in 1 : 6)
{