search for: mindistance

Hello, I am trying to run a linear regression analysis on my data set. For some reason most variables are removed due to singularities. My linear regression looks this way (I am using only partial data, which is selected by flags): fm<-lm(log(cplex6.time..sec..[flags]) ~ cplex6.cities[flags] + log(1/features.meanOver.frust[flags]) + log(1/features.meanOver.minDist[flags]) + [...]

Dear Dr Hornik / R help list, I am using the mda package and in particular the fda routine to classify a set of 162 neurons falling in to 11 neuronal cell types according to 17 morphological variables. I would like to use a cross-validation approach in which I split the data, train with one part amd then test the predictive accuracy of the discriminant functions with the remaining part. However

Dear list, I am trying to program semi-random movement within a circle, with no particles leaving the circle. I would like them to bounce back when they come to close to the wall, but I don't seem to be able to get this right. Would somebody kindly give me a hint ? This is my code so far, the particle starts at some point and moves towards the wall, but I don't get the "bouncing

Dear list, ? I am trying to program semi-random movement within a circle, with no particles leaving the circle. I would like them to bounce back when they come to close to the wall, but?I don't seem to be able to get this right. ?Would somebody?be able to?give me a hint ? This is my code so far, the particle starts at some point and moves towards the wall, but I don't get the

Dear all, I wish use the "est.variogram" function under R. My question concerns the determination of number of lags. To make this calculation, i determined the biggest and the smallest distance between 2 pairs of points. I built the following tolerance : tol=mindistance/2 and i defined 1 lag as : 1lag=mindist+tol. Then i made a buckle the step of stop of which the maximal distance. But, i don't known if this method is correct. So, my question is : How to determine num.lag correctly? Thanks in advance for all kind of help. C?line RONDEY -.-.-.-.-.-.-.-.-...

There are some missing fixes for reading floats and a few unused variables Now I have the postbeta2 branch behaving like the main one, at least! diff -bBu2 branch_postbeta2/vq/bookutil.c vorbis-postb2/vq/bookutil.c --- branch_postbeta2/vq/bookutil.c Thu Aug 31 05:00:02 2000 +++ vorbis-postb2/vq/bookutil.c Wed Sep 13 17:59:15 2000 @@ -309,5 +309,5 @@

Hello R help list, I am using the mda package and in particular the fda routine to classify a set of 4409 trips. I preformed a flexible discriminant analysis (FDA) using a set of 148 trips. A total of 36 predictors were considered. the resulting FDA rule was applied to the 4409 trips and for the same predictors in order to predict to which group the trip will belong. A consistent error is

Hi all The code of trying to write relates to selecting properties (given by x and y co-ordinates) spatially (distance "X" from "infected" properties identified by date) over a certain time period. i.e. what properties are within 3 km from properties infected on "2008-01-01" over the last 14 days. Is any one able to give me some clues on how to write code to solve

Hi, I have a question about computing shortest Euclidean distances between two data frames of spatial points... I have 2 dataframes (not yet converted to spatial class) >Sewers<-data.frame(x=c(10,20,35,50),y=c(100,150,200,300)) >transect <- data.frame(x=seq(from=0, to=50, by=1),y=seq(from=100, to=150, by=1)) I would like to be able to compute the shortest distance from the

Can someone explain Jeff's hack, I really want to play BF1942 with sound fixed,especially with kdog's comment 15. Thanks http://bugs.winehq.org/show_bug.cgi?id=11499#c15 Thank You, so far both Fedora and Ubuntu forums are mute

Hey, Here is a snippet that generated a boxplot and separates points so that they do not overlap. I have a problem to avoir text overlapping. Any help would be helpful. > attach(InsectSprays) boxplot(count ~ spray, data = InsectSprays, outpch = NA) stripchart(count ~ spray, data = InsectSprays, vertical = TRUE, method = "jitter", pch = 21, col =

Dear R users, I'm trying to perform flexible discriminant analysis (fda) with method bruto. I applied the fda function on my training data: bruto.fda <- fda (fda.formula,data=train.data) where fda.formula is: PRES ~ VA_D123 + VA_D124 + VA_D127 + VA_DARU + VA_DCAN + VA_DFON + VA_DLAP + VA_DRID + VA_DRIR + VA_VVEG + VA_WDIN + VA_DIF3 + VA_DIF4 + VA_DIF5 + VA_CAAC + VA_CABC +

Hi, Few days ago I have asked about spatial join on the minimum distance between 2 sets of points with coordinates and attributes in 2 different data frames. Simon Knapp sent code to do it when calculating distance on a sphere using lat, long coordinates and I've change his code to use Euclidian distances since my data had UTM coordinates. Typically one data frame has around 30 000 points

please add the following diffs to the vorbis/vq dir. - include files changed so things actually compile in new scheme - _ogg_...alloc cleanups caught a half-dozen typos or so - minor Makefile touchup. (stuff is still not tested, but this will compile at least) Would someone with cvs write access commit them for me please? Erik diffs: ------------------------ diff -bBu2r vorbis/vq/Makefile

Hello, I am using the mda package and in particular the fda routine to classify/predict in terms of color to a set of 20 samples for which i don?t know the color. I preformed a flexible discriminant analysis (FDA) using a set of 147 samples for which i know all the information. My script and data follow in attachment. A total of 23 predictors were considered. 20 of the predictors are