Displaying 7 results from an estimated 7 matches for "drawpoints".
2017 Sep 27
1
need held in r coding.
..._data <-
cbind(close_xts,fit_xts,majorlandmarks_xts,minorlandmarks_xts)
Error:------------- order.by requires an appropriate time-based object
dygraphs::dygraph(landmarkschart_data, xlab = "Time",ylab = "Price") %>%
dySeries("..1",label = "Close", drawPoints = FALSE, strokeWidth = 1,
color = "black") %>%
dySeries("..2",label = "Fit", drawPoints = FALSE, strokeWidth = 1, color
= "red") %>%
dySeries("..3",label = "Major LandMarks", drawPoints = TRUE, pointSize =
5, strokeWidth = 0, c...
2010 May 04
3
Kernel density estimate plot for 3-dimensional data
...imate plot for 3-dimensional data in ks-package.
Here the example:
# load ks, spatstat
# three-dimensional kernel density of B
B <- pp3(runif(300), runif(300), runif(300), box3(c(0,1)))
x <- unclass(B$data)$df
H <- Hpi(x)
fhat <- kde(x, H=H)
plot(fhat)
plot(fhat, axes=FALSE, box=FALSE, drawpoints=TRUE); axes3d(c('x','y','z'))
If I try to insert my own coordinates instead of the artificial 3D-pattern, it does not work.
It would be great, if anybody could help me!
Thanks
Pascal
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2012 Jul 19
1
3-d kernel smooth by the "kde" function
...question using the
elevation data in geoR.
### here is what I did ###
library(ks)
require(geoR)
data(elevation)
elev.df <- data.frame(x = elevation$coords[,"x"], y =
elevation$coords[,"y"], z = elevation$data)
H<-Hpi(elev.df)
elev.smt<-kde(elev.df,H=H)
plot(elev.smt, drawpoints=TRUE)
If I understand it correctly, with the kde function, I'm using the two
coordinate variables x and y to estimate (or say smooth) elevation (z). Is
this correct?
With this kernel smooth, my goal is to identify peaks, which are defined as
areas that have estimated elevations >=950. Can...
2009 Apr 27
0
plot implicit function
...x-y mesh where you want to plot the function, using
xs<-seq(xmin,xmax,length.xs)
ys<-seq(xmin,xmax,length.ys)
2) Define f as a function of (x,y) and compute the values of f over the x-y mesh, by using
zs<-outer(xs,ys,FUN=f)
3) Draw a contour plot at level 0:
contours(xs,ys,zs,levels=0,drawpoints=FALSE)
Hope it helped.
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2012 Jul 17
0
Kernel smoothing ("ks" package)
...vation data in GeoR:
##### Kernel smooth ####
require(geoR)
data(elevation)
elev.df <- data.frame(x = 50 * elevation$coords[,"x"], y = 50 *
elevation$coords[,"y"], z = 10 * elevation$data)
H<-Hpi(elev.df)
popcnt<-kde(elev.df,H=H)
plot(popcnt, axes=TRUE, box=TRUE, drawpoints=TRUE)
#### To confirm this is what I want, I also created Loess density surface
####
require(geoR)
data(elevation)
elev.df <- data.frame(x = 50 * elevation$coords[,"x"], y = 50 *
elevation$coords[,"y"], z = 10 * elevation$data)
elev.loess <- loess(z ~ x + y, data = el...
2007 Mar 29
0
[929] branches/wxruby2/wxwidgets_282/swig/classes: Fix virtual methods that shouldn''t be (Bug 9682); Add missing methods and
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2010 May 05
0
R-help Digest, Vol 87, Issue 5
...imate plot for 3-dimensional data in ks-package.
Here the example:
# load ks, spatstat
# three-dimensional kernel density of B
B <- pp3(runif(300), runif(300), runif(300), box3(c(0,1)))
x <- unclass(B$data)$df
H <- Hpi(x)
fhat <- kde(x, H=H)
plot(fhat)
plot(fhat, axes=FALSE, box=FALSE, drawpoints=TRUE); axes3d(c('x','y','z'))
If I try to insert my own coordinates instead of the artificial 3D-pattern, it does not work.
It would be great, if anybody could help me!
Thanks
Pascal
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