similar to: calculating an N50

Dear all, first I would like to tell you that I've been using R for two days... (so, you can predict my knowledge of the language!). Yet, I managed to implement some stuff related with the Long-Tail model [1]. I did some tests with the data in table 1 (from [1]), and plotted figure 2 (from [1]). (See R code and CSV file at the end of the email) Now, I'm stuck in the nonlinear regression

Dear all, I would like to ask you if R has a library that can work with different GPS formats For example  I have a string of this format N50° 47.513 E006° 03.985 and I would like to convert to GPS decimal format. that means for example converting the part N50° 47.513 to 50 + 47/60 + 513/3600. Is it possible to do that with R? What is the name of such a library? I would like to thank you in

I was surprised to find that just changing the base level of a factor variable changed the number of significant coefficients in the solution. I was surprised at this and want to know how I should choose the order of the factors, if the order affects the result. Here is the small example. It is taken from 'The R Book', Crawley p. 365. The data is at

Hi Everyone, I want to make 3 lines on the same graph (not as subplots, all in the same window, one on top of each other) and I want them to be quantile-quantile plots (qqplot). Essentially, I am looking for the equivalent of Matlab's "hold on" command to use with qqplot. I know I can use 'points' or 'lines', but these do not give me a qqplot (only appear to work

Dear devels, I need to create a (short) vector in C, which contains potentially very large numbers, exponentially to the powers of 2. This is my test example: lgth = 35; int power[lgth]; power[lgth - 1] = 1; for (j = 1; j < lgth; j++) { power[lgth - j - 1] = 2*power[lgth - j]; } Everything works ok until it reaches the limit of 2^32: power: 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024,

Hello R Community, Subject: Bayes Factor A Bayesian ANOVA of the form: competitionBayesOut <- anovaBF(biomass ~ clipping, data = competition) Returns the following Error message: Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ?compare? for signature ?"BFlinearModel", "missing", "tbl_df"? My guess the problem is in

I have a dataframe that I'm trying to reshape, and need advice. My data: > klam.merge[200:225,] stream lulc x sumlength pct.lgth 200 1223030419685 92 0.25000000 9.89 2.52780586 201 1223030419686 23 0.00274154 4.73 0.05796068 202 1223030419686 41 0.75009917 4.73 15.85833341 203 1223030419686 42 2.65000000 4.73 56.02536998 204

Dear R users, i'm using a custom function to fit ancova models to a dataset. The data are divided into 12 groups, with one dependent variable and one covariate. When plotting the data, i'd like to add separate regression lines for each group (so, 12 lines, each with their respective individual slopes). My 'model1' uses the group*covariate interaction term, and so the coefficients

On Jan 29, 2013, at 12:51 AM, Tobias Grosser <tobias at grosser.es> wrote: > > # ignore assumed dependences. > for (i = 0; i < 4; i++) { > tmp1 = A[3i+1]; > tmp2 = A[3i+2]; > tmp3 = tmp1 + tmp2; > A[3i] = tmp3; > } > > Now I apply for whatever reason a partial reg2mem transformation. > > float tmp3[1]; > > # ignore assumed

Don't know how much control you have over the remote situation but some UPSes have their own logs which should show this. Also, some UPSes have add-in boards providing network connections with various services. If these outages are costing enough money and the remote UPS doesn't have the add-in card but does have the capability of adding one you might be able to justify the expense.

When I was trying to run mutiple E1s over TDMoE, the zaptel would drivers complain about too little memory, whenever I added more than 31 channels. Requesting 62 channels in a dynamic span gave me ... span creation failed: Cannot allocate memory upon loading the zaptel drivers. How would you go about running, 8 or 16 say, E1s over TDMoE? Would you create multiple dynamic spans or just one large

Hi R-users, I'm quite new to R and trying to learn the basics. I have a following problem concerning the convertion of array object into data frame. I have made following data sets tmp1 <- rnorm(100) tmp2 <- gl(10,2,length=100) tmp3 <- as.data.frame(cbind(tmp1,tmp2)) tmp3.sum <- tapply(tmp3$tmp1,tmp3$tmp2,sum) tmp3.sum <- as.data.frame(tapply(tmp1,tmp2,sum)) and I want the

Consider the following C code: typedef __attribute__(( ext_vector_type(2) )) float float2; typedef __attribute__(( ext_vector_type(2) )) __attribute__(( aligned(4) )) float float2_align2; void foo(void) { const float * p; size_t offset; float2 tmp = *((float2_align2 *)(p+offset)); } When compiled with clang ‹emit-llvm I get: define void @foo() { entry: %p = alloca float*, align 4

Hi all, I would like to know if LLVM Neon intrinsics are designed to support only 'Legal' types for NEON units. Using llc -march=arm -mcpu=cortex-a9 vmax4.ll -o vmax4.s on following ll code: ; ModuleID = 'vmax.ll' target datalayout = "e-p:32:32:32-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-n32" target triple =

On 01/29/2013 07:58 PM, Nadav Rotem wrote: > > On Jan 29, 2013, at 12:51 AM, Tobias Grosser <tobias at grosser.es > <mailto:tobias at grosser.es>> wrote: > >> >> # ignore assumed dependences. >> for (i = 0; i < 4; i++) { >> tmp1 = A[3i+1]; >> tmp2 = A[3i+2]; >> tmp3 = tmp1 + tmp2; >> A[3i] = tmp3; >> } >>

On Fri, Sep 21, 2012 at 1:28 AM, Sebastien DELDON-GNB <sebastien.deldon at st.com> wrote: > Hi all, > > I would like to know if LLVM Neon intrinsics are designed to support only 'Legal' types for NEON units. > Using llc -march=arm -mcpu=cortex-a9 vmax4.ll -o vmax4.s on following ll code: > > > ; ModuleID = 'vmax.ll' > target datalayout =

Hi, Attached is a patch which uses a simple "parallel_loop" metadata attached to the loop branch instruction in the loop latch for skipping cross-iteration memory dependency checking in the LoopVectorizer. This was briefly discussed in the email thread "LoopVectorizer in OpenCL C work group autovectorization". It also converts the "min iteration count to vectorize"

Hi, all I found in some cases the int variable get promoted to i64, although I think it should i32. I use the online demo (http://llvm.org/demo). And below is the test case. ------------- test case ------------- int test(int x[], int y[], int n) { int i = 0; int sum = 0; for ( ; i < n; i++) { sum += x[i] * y[i]; } return sum; } ------------------------------------- No

Dear all I use R for Windows 2.3.1 on a fully updated Windows XP Home SP2 machine and I have two related regular expression problems. platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

Hi Eli, Thanks for the answer, it clarifies the situation for me. Do you know if there is Pass in LLVM that could be adapted to 'legalize' intrinsics calls ? Or shall I define my own intrinsics for non supported types ? Best Regards Seb ________________________________________ De : Eli Friedman [eli.friedman at gmail.com] Date d'envoi : vendredi 21 septembre 2012 11:54 À : Sebastien