similar to: Create new dataframes with dames from dataset...

Dear List members, its me again, fighting with lattice graphics. I am trying to plot a world map, add some points on different locations with different colors and add a legend, but did not succeed yet with the legend. Here is my code: library(fields) # Data for demonstration data_x = c(0,50,60) data_y = c(0,0,0) cols???= c(1,2,3) data(world.dat) #print map all=xyplot(world.dat$y? ~

Oh, I appologize that I should not have asked about __main() ---- it appears in FAQ. But the question remains that why call to __main() can alias stack location? I think the memory location pointed by data_X pointers are not visible to __main(). In comparison, calls to printf() do not have similar effect. On 5/14/06, Nai Xia <nelson.xia at gmail.com> wrote: > > In a code segment of

Hi Chris, I took a haste look at the "Points-to Analysis in Almost Linear Time" by Steens , your PHD thesis and SteensGaard.cpp in LLVM this afternoon. So I think: 1. Actually the basic algorithm described originally by SteensGaard does not provide MOD/REF information for functions. 2. The context insensitive part of Data Structure Analysis (LocalAnalysis) can be deemed as an

On Tuesday 16 May 2006 03:19, Chris Lattner wrote: > On Mon, 15 May 2006, Nai Xia wrote: > > > In other words, if I only use -steens-aa and the data_XXXs are all > > external global variables( and so inComplete ), > > Sounds right! > > > the call to printf will > > make the same effect, which I have tested it. > > > > Am I right ? :) >

On Wed, 17 May 2006, Nai Xia wrote: > Unfortunately, I did not locate the lines in steens-aa for "printf" special case. > In ds-aa, I found the lines below: Right, steens-aa and ds-aa share code for "local analysis", they just stitch it together into an interprocedural analysis in different ways. The code below is used for steens-aa. >

On Mon, 15 May 2006, Nai Xia wrote: > In other words, if I only use -steens-aa and the data_XXXs are all > external global variables( and so inComplete ), Sounds right! > the call to printf will > make the same effect, which I have tested it. > > Am I right ? :) If you've tested it then, yes you're right :). I haven't played with this stuff for a long time,

In a code segment of my pass plugin, I try to gather AliasSets for all StoreInst, LoadInst and CallInst instructions in a function. Some behaviors of the pass puzzled me. Below is the *.ll of the test program which I run the pass on, it was get with "llvm-gcc -Wl,--disable-opt" from a rather simple *.c program. ---------------------------------- ; ModuleID = 'ptralias.bc'

Greetings R users, My goal is to generate quartile groups of each variable in my data set. I would like each experiment to have its designated group added as a subsequent column. I can accomplish this individually with the following code: brks <- with(data_variables, cut2(var2, g=4)) #I don't want the actual numbers, I need a numbered group data$test1=factor(brks,

Hi. Background - I am working with a dataset involving around 750K observations, where many of the variables (8/11) are unordered factors. The typical model used to model this relationship in the literature has been a simple linear additive model, but this is rejected out of hand by the data. I was asked to model this via kernel methods, but first wanted to play with the parametric

Dear R Users, Is it possible to make file names dependent on a changing variable? For instance. I generate random numbers in a loop and at each iteration I want data to write to file (I do not want to write everything in one file using 'append'): for (i in 1:50){ x<-matrix(runif(100, min=0,max=1),nrow=5,ncol=20) Write(t(x),file="Data_i.txt",ncolumns=5,sep="\t") }

Hello, I have been having difficulty getting boxplot to give the output I want - probably a result of the way I have been handling the data. The data is arranged in columns: each date has two sets of data. The number of data points varies with the date, so each column is of different length. I want to get a series of boxplots with the date along the x-axis, with alternating colors, so that it

Dear R Help, I am trying to fit a nonlinear model for a mean function $\mu(Data_i, \beta)$ for a fixed covariance matrix where $\beta$ and $\mu$ are low- dimensional. More specifically, for fixed variance-covariance matrices $\Sigma_{z=0}$ and $\Sigma_{z=1}$ (according to a binary covariate $Z $), I am trying to minimize: $\sum_{i=1^n} (Y_i-\mu_(Data_i,\beta))' \Sigma_{z=z_i}^{-1} (Y_i-

Hello everybody, I have usually solved this problem by repeating lines of codes instead of a loop, but it's such a waste of time, I thought I should really learn how to do it with loops: What I want to do: Say, I have several data files that differ only in a number, e.g. data points (or vector, or matrix...) Data_1, Data_2, Data_3,... and I want to manipulate them e.g. a simple sum of

I've recently been working with some California county-level data. The counties can be referred to as either FIPS codes, eg F060102, friendly names such as "Del Norte County", names without 'County' on the end, names with 'CA' on the end ("Del Norte County, CA"). Different data sets use slightly different forms and putting them all together is a pain. So I

On 26/10/2017 18:38, Alexander Dalloz wrote: > Am 26.10.2017 um 12:20 schrieb David Zambonini: >> >> There seems to be a bug with RFC822 processing in ltmp proxying that >> doesn't >> quote local parts that, for example, contain spaces. > > Newer related RFCs are RFC 5321 and 5322. Typo, meant to say RFC2822, which they still supercede, not that the

Hello everybody, I have experience coding with R, but am brand new to R Shiny. I am trying to produce an application that will allow users to upload their own dataset, select columns they want an ANOVA analysis run on, and generate graphs that will allow users to view their results. However, I am getting the following error: *"Argument is of length zero."* Being new to Shiny, I am

Hi again, I've not heard anything further regarding this bug, so I've had a look at the code. To restate the bug in a more precise way: LMTP in dovecot treats external RFC822 email addresses in the envelope recipient and internal usernames as almost identical/interchangeable. This is incorrect and leads to issues when attempting to use director as an LMTP proxy to proxy to recipients

Hi: Is there a way we can set up WINBUGS to run 100 simulated datasets on the same model and output results? Or do we have to call in each dataset at a time and repeat the process 100 times manually? Thanks Anamika [[alternative HTML version deleted]]

Dear all, I am trying to use the 'glm' package as part of a semiparametric technique that involves weighting a likelihood in various ways, i.e. L(theta;data)=Sum_i=1,..,n (W_i)(log L(theta;data_i)) Where W_i can be a kernel weighting function, or W_i can be an indicator of 'non-missingness' divided by a propensity score. In a Monte Carlo exercise, the option glm(...,