similar to: RStudio question

Hello R Users, I am new to R. I have two data sets i) TOMS aerosol optical depth(AOD) and ii) TOMS ozone(O3). > > AOD data is on 1x1 grid and O3 data is on 5x5 grid. > > First I want to read AOD and O3 as it is and then I want to regrid AOD on > 5x5 grid as O3. > > Reading is first problem. > > FIRST PROBLEM READING AOD: > > AOD data is in following format: >

Hi everyone, I wonder if anyone knows the reason why the outputs of the same reprojection in r and arcgis are different?. The magnitude of the change can be up to 40 km in the poles. Basically, I have a database of points equally separated by one degree over the globe. In ARCGIS, I am projecting the data in GCS-WGS-1984 and then reprojected it to Berhmann to ensure equal area

Hello, I am trying to create a plot often seen in hydrodynamic work than includes a contour plot representing the water speed with arrows pointing in the direction of flow. Does anyone have any idea how I might add arrows based on wf$angle (in the example below) to the plot below? Thanks in advance! Sam library(lattice) speed <- runif(100, 0, 20) wf <- data.frame(speed) wf$width <-

R gurus: I'm trying to get another round of rconifers out and I need some advice/help crushing differences in the examples test. I'm trying to make sure the max sdi values are being respected. I've added a tests/rconifers-Ex.Rout.save (from windows i386-pc-mingw32) and when I ran R CMD check (both R-2.13.0), I got the following results: * using log directory

Hi, The Glasgow Haskell Compiler LLVM backend is generating a lot of code which appears to be optimised by LLVM quite poorly. The problem is demonstrated by this C source code: int wf(int sp[]) { if (sp[0] == 0) { return sp[2] + sp[3]; } else { sp[3] = sp[3] + (sp[1] * 5); sp[2] = (sp[2] + sp[0]) + 1; sp[1] = sp[1] - 1; sp[0] = sp[0] - 1;

Hi, I have a dataframe wf existing of a header with different labels and beneath the values of those labels : wf: label1 label2 ... 0,45 0,21 0,10 0,45 .... .... I have a list fl <- c("label2","label3",..) Isn't possible to use the list elements in the list in order to subtract values from the dataframe? like : wf$fl[[1]] When I do in R I get :NULL

Below you will find the output from a failed multi-level model run. I am trying to estimate the following model: Pr(PLFP=1)= logistic regression -> B1_j * bm + B2_j * wm + B3_j bf + B4_j wf + B5 yrsed+ B6 age+ B7 age^2+e_ij B1_j = G01 + G11 bmxd + d1 B2_j = G02 + G12 wmxd + d2 B3_j = G03 + G13 bfxd + d3 B4_j = G04 + G14 wfxd + d4 d1-d4 freely correlated Note that there is no

I am seeing the wf loop get optimized just fine with llvm 2.8 (and almost as good with head). I'm running on Mac OS X 10.6. I have an apple supplied llvm-gcc and a self compiled llvm 2.8. When I run $ llvm-gcc -emit-llvm -S M.c $ opt -O2 M.s | llvm-dis I see that: 1. Tail recursion has been eliminated from wf 2. The accesses to sp have been promoted to registers 3. The loop has

Hi Max, > The Glasgow Haskell Compiler LLVM backend is generating a lot of code which > appears to be optimised by LLVM quite poorly. The problem is demonstrated by > this C source code: if I run this at -O3 under llvm-gcc from top-of-tree on x86-64 linux then (1) it computes that g(5) is equal to 95, and main is transformed to just print 95. (2) g is transformed into code with no

> I see the same with clang. I'm not sure why the optimizers do so much better > when they can see that sp is a local array (the special initial values don't > matter). It is the scalar replacement of aggregates pass that puts everything into registers when sp is a local array. What happens is: the tail recursion in wf is eliminated. wf is inlined into g. scalarrepl turns the

Hello, me again. I have a data frame that looks like this (actual dput output at bottom): > head(tencor) date lot wf.id s1 s2 s3 s4 s5 1 08.05.2012 W0X3H0 9 1238 1263 1244 1200 1183 2 08.05.2012 W0X3H0 10 1367 1396 1371 1325 1311 3 08.05.2012 W0X3H0 11 1383 1417 1393 1346 1328 I'd like to add a column to this that gives, for each row, the averages of the

Hi, I am using a freebsd 4.5-stable system. I am using the latest "rsync version 2.5.5 protocol version 26". I tried to rsync my home directory to another machine: rsync -Cavz /homes/yxw/ baggie.mit.edu:/disk1/ &> rsync.out& However, I ran into the error: www/wf-02.jpg www/wf-03.jpg www/www.c www/www.tar www/xiaowei.doc www/xiaowei_dadmom.jpg www/yxw-contact.txt wrote

Duncan Sands <baldrick <at> free.fr> writes: > > > I see the same with clang. I'm not sure why the optimizers do so much better > > when they can see that sp is a local array (the special initial values don't > > matter). > > It is the scalar replacement of aggregates pass that puts everything into > registers when sp is a local array. Yes, I

Can someone tell me why this is since I can't seem to find an explination in the docs or FAQ for this. Since there are no "BM" in the mtrs data.frame, but only in the "parent" data.frame (trees), I'm assuming the subset data.frame is still associated with the original. Is that correct and how would I create a completly separate data.frame since I'll be using by,

Buenas a todos, Tengo que adaptar un proyecto que esta en lenguaje de SQL Server a RStudio. En el transcurso de este procedimiento tengo que realizar algunas consultas bastante complejas seleccionando campos de varias tablas y utilizar algunas clausulas como EXCEPT o UNION ALL. También debo actualizar varios campos de tablas usando la sentencia UPDATE y eliminar tablas bien con usando DROP TABLE o

David Peixotto <dmp <at> rice.edu> writes: > I am seeing the wf loop get optimized just fine with llvm 2.8 (and almost as good with head). I rechecked this and am I actually seeing the same results as you. I think I must have made a stupid mistake in my tests before - sorry for the noise. However, I found that we have a phase ordering problem which is preventing us getting as much

En la ayuda ?wilcox.test hay varios ejemplos. En tu caso, creo, lo siguiente deberia funcionar: wilcox.test(IMC - a_HTA, data = tusdatos, alternative = "two.sided") Saludos, Jorge.- 2013/9/16 Dr. José A. Betancourt B. <jbetancourt@iscmc.cmw.sld.cu> > > > deseamos r > > ealizar es una prueba no paramétrica para demostrar que el IMC > encontrado difiere

Hi, I keep getting the below error regarding rJava which is required by package xlsx (I have used it in the past to directly import data from Excel 2010). I was on R version 2.15.0 when I was getting this error this morning. So I upgraded to 2.15.1 but still the same problem. I tried unstalling and reinstalling xlsx and even rJava directly from the source as indicated here:

Lo que deseamos realizar es una prueba no paramétrica para demostrar que el IMC encontrado difiere significtivamente entre aquellos que tienen a_HTA (entecedentas HTA) y los que no lo tienen ( en SPSS de forma fácil utilizo varios métodos ¿Cuál es la sintaxis para hacerlo posible en R? a_HTA IMC si 26 si 25 si 26 si 21 si 25 si 23 si 28 si 24 si 27 si 22

Hello, I have a data.frame > names(popA) [1] "Year" "Series" "Age" "WM" "WF" "HM" "HF" "BM" [9] "BF" "IM" "IF" "AM" "AF" "Yr" how do i loop over a subset of variables in this frame to create a vector of