similar to: Averaging Out many rows from a column AND funtion to string

Hi , I would like to use ggplot2 to plot a matrix as an image. You can copy paste the following Data<-matrix(data=rnorm(900,80,20),nrow=30,ncol=30) lengthOut<-5 Lengths<- 15 library(reshape2) library(ggplot2) tdm <- melt(Data) ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value)),levels=seq(0,1,by=0.1)) +                   labs(x = "MHz", y =

Hi! I have 2 data.frames: "fish" and "popn": >fish xloc yloc id birth size weight energy gonad 20 15 15 54 -60 107.9 63.0 15952.9 8.0 21 15 15 32 -60 105.1 61.4 15538.8 7.8 91 4 43 96 -60 118.9 69.4 17573.2 8.8 71 32 4 64 -60 121.6 71.0 17976.0 9.0 34 2 64 20 -60 116.2 67.9 17173.0 8.6 95 6 20 58 -60 106.5

Hello, I am writing an LLVM backend that generates byte code for a custom virtual machine. Standard function calls are lowered to a simple CALL $offsetInByteCode This works fine so far using the standard machinery of LLVM. But some functions are not implemented in byte code, but delegated to native implementations within the VM. Calls to these functions use a non-standard calling convention

Jonas, Why not lower everything to a single call during instruction selection, and then write a machine function pass that translates the normal CALL's into CALL_NATIVE? Micah > -----Original Message----- > From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] > On Behalf Of Jonas Gefele > Sent: Thursday, August 04, 2011 9:56 AM > To: llvmdev at

Hello. I'm writing an LLVM pass that is working on LLVM IR. To my surprise the following LLVM pass code generates optimized code - it does copy propagation on it. Value *vecShuffleOnePtr = Builder.CreateGEP(ptr_B, vecShuffleOne, "VectorGep"); ... packed_gather_params.push_back(vecShuffleOnePtr); CallInst *callGather =

These were requested by Bill Wendling to simplify a Mips 16 clang change. The test is in the code in Clang which uses these for mips 16. -------------- next part -------------- Index: include/llvm/IR/Function.h =================================================================== --- include/llvm/IR/Function.h (revision 176874) +++ include/llvm/IR/Function.h (working copy) @@ -181,6 +181,14 @@

Using the New Attributes Classes Attributes in LLVM have changed in some fundamental ways. It was necessary to do this to support expanding the attributes to encompass more than a handful of attributes --- e.g. command line options. The old way of handling attributes consisted of representing them as a bit mask of values. This bit mask was stored in a "list" structure that was reference

This addition converts strlen() calls to strnlen() when the result is compared to a constant. For example, the following: strlen(s) < 5 Becomes: strnlen(s, 5) < 5 That way, we don't have to walk through the entire string. There is the added overhead of maintaining a counter when using strnlen(), but I thought I'd start with the general case. It may make sense to only use this

Dear All, 1.I have been trying to aggregate my data but I have not been getting it correctly. In the data I want to convert hourly data into daily averages. Here is a sample of the data: Neph_no Date Time Temp_C Pressure_kPa RH 9 2014/03/28 10:00:00 38.4 95.9 29.7 9 2014/03/28 11:00:00 37.8 95.8 29.2 9 2014/03/28 12:00:00 36.7 95.8 35.1 9 2014/03/28 13:00:00 35.4 95.8 38.9 9

Hi, I am using R to fit statistical models to data were the observations are means of the original data. R is used to calculate the mean before fitting the model. My problem is: When R calculates the means using tapply, the class of the means differs from the class of the original data, which gives me trouble when I want to use the original data to calculate model predictions. Here is a simple

On Tue, Feb 24, 2015 at 2:53 PM, Duncan P. N. Exon Smith < dexonsmith at apple.com> wrote: > > > On 2015-Feb-24, at 13:25, Eric Christopher <echristo at gmail.com> wrote: > > > > Hi Duncan, > > > > Been thinking about this a bit and a few comments/questions. I may have > misunderstood some things in your mail though so please feel free to >

Hi, I would like to display results on the screen . Can I use the printf function in LLVM? How do I call the funtion? Could someone give me an example Thanks Jai

Have any way to write a funtion into a list ? -- Nash - morrison at ibms.sinica.edu.tw

Hi, I have a variable X classified in a lot of groups and I need to run the [fitdistr] funtion for each group. I tried with the [by] or the [tapply] funtions because my data is organize in two columns (variable and the groups), but neither of these command work. If somebody have a tip to help me up I really appreciate it. thanks, [[alternative HTML version deleted]]

Hei, I just wonder the use of family=binomial in glm function. As I learned from book (e.g. Andy Field) that logistic regression (binary logit) can use glm funtion with family = binomial. Here the y is a factor variable (e.g. value = 1 or 2). But I have also seen i many other cases, same function glm with family=binomial, but y is a variable with several column , like y= cbind(y1, y2), and

Just compile a trivial C program containing printf through llvm-gcc and you will see how to call printf from within llvm. You could even do it on the llvm web page if you don't have llvm-gcc installed. --Vikram http://www.cs.uiuc.edu/~vadve http://llvm.cs.uiuc.edu/ On Dec 11, 2004, at 1:13 AM, <vasanth2 at uiuc.edu> wrote: > Hi, > > I would like to display results on the

Dear R users, I am applying the augmented-Dickey-Fuller Unit Root Test (ur.df function of the urca package) to a time series of approximately 50 values. To be sure I understood what was going on with the ur.df function, I checked the critical values of the 3 test statistics (tau, phi2 and phi3 if a trend is included) or the 2 test statistics (tau and phi1 if only a drift is included) with the

  Hello, my name is German, I am from Argentina, and we are working at university with R. This work is about sounds and how they affect out ears, we are using R to analice different recordings of sounds and we need to get the intensity of this recordings in dB.  In order to get the intensity of the sounds, we are using the plot function, but we can not figure out what is the menaning of the

Dear R-list, Could anybody tell me (or give me a tip) of how to implement the Duncan distribution in R? I've been trying to make a new and more flexible function for multiple comparison of means: Tukey, SNK and Duncan, from 'aov' objects, like TukeyHSD function. For while, it is running nice (Tukey and SNK), for simple design (completely randomized, randomized block and Latin

Jose - Before implementing SNK and Duncan's, you may want to be aware of some criticisms of these methods: >From Hsu (1996), "Newman-Keuls multiple range test is not a confident inequalities method and cannot be recommended." "Duncan's multiple range test is not a confident inequalities method and cannot be recommended either. In the words of Tukey (1991),