similar to: script development for Unconditional Density and Probability estimation

Hi everyone, I am trying to construct a glm and am running into a couple of questions. The data set I am using consists of 6 categories for the response and 6 independent predictors representing nutrient concentrations at sample point locations. Ultimately I'd like to use the probabilities for each response category in a simulation model such that these probabilities are used to define a

hello, I am trying to develop a triangle plot but am having difficultly assigning the row.names to the 3 columns in the data.frame Here is what I've done, attach(SoilVegHydro) dim(SoilVegHydro) 1292 39 # now take 3 variables from main data.frame for plotting dat <- cbind.data.frame(TP, meanAnnualDepthAve, BulkDensity) # These are variables held in the data frame SoilVegHydro

libswfdec/js/jsinterp.c | 3 libswfdec/js/jsinterp.h | 1 libswfdec/swfdec_js.c | 51 +++++++++ libswfdec/swfdec_js.h | 8 + libswfdec/swfdec_js_global.c | 30 +++++ libswfdec/swfdec_js_movie.c | 181 +++++++++++++++++++++++++---------- libswfdec/swfdec_movie.c | 22 ---- libswfdec/swfdec_player.c |

libswfdec/js/jsobj.c | 56 +++++++++++--------------- libswfdec/swfdec_js_color.c | 14 ------ libswfdec/swfdec_js_connection.c | 14 ------ libswfdec/swfdec_js_movie.c | 22 ---------- libswfdec/swfdec_js_net_stream.c | 14 ------ libswfdec/swfdec_js_video.c | 14 ------

Hello, I would like to produce a series of graphs comparing the probability distributions for 8 factors against a continuous metric. The kind of graph I'm hoping to produce would look like the density comparison graphs (library sm) using the function sm.density.compare. However, instead of calculating the density distributions for comparisons, I'd like this comparison to be based on

libswfdec-gtk/swfdec_gtk_loader.c | 10 ++++++++-- libswfdec-gtk/swfdec_playback_alsa.c | 3 +-- libswfdec-gtk/swfdec_source.c | 32 ++++++++++++++++++++++++-------- libswfdec/swfdec_cached.c | 3 +-- libswfdec/swfdec_font.c | 19 ++++++++++++++----- libswfdec/swfdec_morphshape.c | 10 ++++++++-- libswfdec/swfdec_net_stream.c | 3 ++-

libswfdec/swfdec_image.c | 113 ++++++++---- libswfdec/swfdec_image.h | 5 libswfdec/swfdec_js.c | 5 libswfdec/swfdec_js_color.c | 8 libswfdec/swfdec_js_sound.c | 7 libswfdec/swfdec_pattern.c | 3 libswfdec/swfdec_script.c | 376 +++++++++++++++++++++++++++++++++++++++--- libswfdec/swfdec_scriptable.c | 2 8 files changed, 441

Hello, vegMeans <- by(SoilVegHydro[3:37] , SoilVegHydro$Physiogomy, mean) vegSD <- by(SoilVegHydro[3:37] , SoilVegHydro$Physiogomy, sd) write.table(vegMeans, file="A:\\Work_Area\\Steve\\Hydrology_Data\\data\\vegMeans.txt") Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors) : cannot coerce class '"by"' into a

libswfdec-gtk/swfdec_playback_alsa.c | 6 - libswfdec/Makefile.am | 2 libswfdec/js/jsinterp.c | 10 -- libswfdec/swfdec_as_context.c | 50 ++++++++++- libswfdec/swfdec_as_context.h | 4 libswfdec/swfdec_as_frame.c | 7 - libswfdec/swfdec_as_frame.h | 3 libswfdec/swfdec_as_function.c | 146

libswfdec/js/jsnum.c | 10 ++++ libswfdec/swfdec_script.c | 86 ++++++++++++++++++++++++++++--------- libswfdec/swfdec_script.h | 2 player/swfdec_debug_stack.c | 33 +++++++++++++- test/trace/Makefile.am | 8 +++ test/trace/number.swf |binary test/trace/number.swf.trace | 9 +++ test/trace/object-math-5.swf

Hello, I'm trying to calculate non-parametric probabilities using the np package and having some difficulties. OS is Windows, R version 2.11.1 Here is what I've done so far. library(np) veg <- data.frame(factor(Physiogomy), meanAnnualDepthAve, TP) attach(veg) : for clarification dim(veg) returns 1292 3 fy.x <- npcdens(veg$factor.Physiogomy ~ veg$meanAnnualDepthAve, nmulti=1) #

Hello, I tried to post this earlier, but it seems that it did not appear on the list. If you've rec'd 2 m I'm trying to calculate non-parametric probabilities using the np package and having some difficulties. OS is Windows, R version 2.11.1 Here is what I've done so far. library(np) veg <- data.frame(factor(Physiogomy), meanAnnualDepthAve, TP) attach(veg) : for

configure.ac | 2 libswfdec/Makefile.am | 4 libswfdec/js/jsfun.c | 11 libswfdec/js/jsfun.h | 1 libswfdec/js/jsgc.c | 29 libswfdec/js/jsinterp.c | 14 libswfdec/js/jsinterp.h | 4 libswfdec/js/jsnum.c | 10 libswfdec/js/jsobj.c | 2

libswfdec/swfdec_js.h | 2 libswfdec/swfdec_js_movie.c | 8 + libswfdec/swfdec_script.c | 121 ++++++++++++++++++++++++-- test/trace/Makefile.am | 11 ++ test/trace/constructor-prototype.swf |binary test/trace/constructor-prototype.swf.trace | 4 test/trace/function-prototype-chain.swf

Hello all, I've got a problem with a function in a R package I've developed (MetaLandSim). One of the outputs of my function is the plotting of four images (combining a graph and a map). This plotting is made in a graphical device, with the graph in one side and the map in the other. My function works perfectly fine until it has to plot the map. Then it stops and I get an error.

Hello, This is a re-submittal of question I submitted last week, but haven't rec'd any responses. I need to extract the probabilities used to construct the barplots displayed as part of the graph produced by plot("ctree"). For example, library(party) iris.ct <- ctree(Species ~ . , data = iris) plot(iris.ct) Instead of a simple example with only 4 terminal nodes, my

Hello, I have a univariate data set, and the unconditional variance is 1. I would like to fit a GARCH(1,1) model to the data set with a constraint: \omega (the constant parameter in GARCH(1,1)) is equal to 1-\alpha-\beta. So the unconditional variance can be controled to be \omega /(1-\alpha-\beta) = 1. I was using garchFit (fGARCH package) but did not find the way to control. Any help?

Hi, I'm learning to use the llvm API, but I got a question for which I haven't found a good answer yet: What is the best way to turn an unconditional branch into a conditional branch? All I want to do is add two more operands, a successor and a condition. But no matter how I try to do this any one of setCondition()/setOperand()/setSuccessor() causes an assertion like these: Cannot

Hi all, How can replace a conditional branch with unconditional branch? -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20120104/f2593dd0/attachment.html>

Hello guys, Do we have a pass to do unconditional branch folding except the one in Codegen? I checked in the lib/Transforms/Scalar, did not see any promising one. thank you, yuanfang