similar to: Multiple lapply get-around

I've never noticed this before, though it's probably not new. In 1.2.3 for Windows, if I print a short vector the formatting is different than if I print a long one, whether or not they fit on one line. The short/long split appears to be between 9 and 10 elements: > 1:9 [1] 1 2 3 4 5 6 7 8 9 > 1:10 [1] 1 2 3 4 5 6 7 8 9 10 > sqrt(1:9) [1] 1.000000 1.414214

Dear R members, I have a quite large of function that are named like that f11,f12,...f15 f21,f22,...f25 .. f51,f52,...f52 These are static (hard-coded) functions that the only common they have is that they take the same number and type of input fij(a,b,c,d). As you might understand this is really close to the notion of matrix only that my 'matrix' contains functions. It would be great if

Hi, I am trying to determine the number of units in the hidden layer and the decay rate using the CVnn2 script found in MASS directory (reference: pg 348,MASS-4). The model that I am using is in the form of Y ~ X1 + X2 + X3... + X11 and the underlying data is time-series in nature. I found the MASS and nnet package extremely useful (many thanks to the contributors). However I am getting

Dear All, Is there any simple way to way to produce "rank", for a given list, but in a descending order? E.G: x = list(a=c(1,5,2,4)); rank(x$a); produces 1,4,2,3 However I am looking for a way to generate (4,1,3,2). It would be particularly nice if the proposed solution has all the niceties of rank function (like NA handling and ties.method functionality) TIA Manoj

Hi everyone and Achim, Achim, I appreciate your help about the function "NCOL". When I use "NCOL" instead of "ncol", I can find out the number of columns (number of time series) in the presence of only one time series (one variable, one column). Now I want to know how I can find out the column names of the zoo objects? In case of more than one time series, the

Hi, I am trying to do multiple regression on a set of data using backward stepwise regression....however backward stepwise regression is critised for overfitting data. To actually observe the bias and to come up with a better method to use..Could you all stats experts kindly give me pointers to any alternative procedure (or references) to use over backward stepwise regression from your

Dear All, Is it possible to perform OLS using C code? I am trying to optimize a n-period "moving window" OLS on a huge dataset hence was wondering if such a thing is possible. Ideally the solution that I am looking for would involve a C-code accepting two float arrays and returning back computed parameters such as t-stat, coefficient etc. I have glanced thru the FAQ's and tried

Hello all, I'm having trouble creating an adjacency matrix. Basically, I need to turn the following distance matrix into an adjacency matrix based on whether values are >1.5 or not. If they are >1.5, then the returned value should be 0. If they are =<1.5, then the returned value should be 1. DistanceMatrix: A B C D E [1,]

Hello all, I am brand new to R and doing an exercise for a class. I need to find the nearest neighbour for points in the following matrix: > DistanceMatrix x1 x2 x3 x4 x5 [1,] 0.000000 2.828427 1.581139 2.236068 2.000000 [2,] 2.828427 0.000000 1.581139 4.123106 2.000000 [3,] 1.581139 1.581139 0.000000 2.549510 2.121320 [4,] 2.236068 4.123106 2.549510

Hi, Part of my program is to calculate the number of time series in a zoo object. It works well if it has more than one time series, but it fails if it has only one. How can I access the number of column (i.e. the number of time series) when I have only one column? Why is the number of an object of only one object "NULL"? It should be one, shouldn't it? (The following example

Hi, FWIW: /* Taken from R/src/main/unique.c */ static int requal(SEXP x, int i, SEXP y, int j) { if (i < 0 || j < 0) return 0; if (!ISNAN(REAL(x)[i]) && !ISNAN(REAL(y)[j])) return (REAL(x)[i] == REAL(y)[j]); else if (R_IsNA(REAL(x)[i]) && R_IsNA(REAL(y)[j])) return 1; else if (R_IsNaN(REAL(x)[i]) && R_IsNaN(REAL(y)[j])) return 1;

Hi All, I am trying to write a c function to optimize loop processing. Having read the R extension and trying out a few samples I was pretty comfortable with the basics. However, I am wondering if there is anyway to call tseries functions like adf.test or po.test from within c function. Any pointers/ code sample would be greatly appreciated. Thank you. Manoj

?readline HTH -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Neil Leonard Sent: Friday, August 27, 2004 2:04 PM To: r-help at stat.math.ethz.ch Subject: [R] Keyboard input into functions Hi, Does anybody know if it is possible to have keyboard input into functions? Kind of like 'scanf()' in C. I want to

Hello, I would like to use mapply to avoid using a loop but for some reason, I can't seem to get it to work. I've included copies of my code below. The first set of code uses a loop (and it works fine), and the second set of code attempts to use mapply but I get a "subscript out of bounds" error. Any guidance would be greatly appreciated. Xj, Yj, and Wj are also lists, and s2,

Dear all, I would like to create a code for semiparametric Klein and Spady's estimator. For that I created a function that provides the log-likelihood function for each observation (so it is a function of betas and i, where i denotes the observation). Now, in order to maximize the log-likelihood function, I have to sum these log-likelihood functions for each i and so to get another function

Dear all, I have discovered that there are many things that I used to do in my GIS which are easily done directly in R, for example calculating interpoint distances using geoR and pick out points inside a polygon using splancs. I now wonder, is there a function to create a line object like a watercourse and then calculate the distances between many points in space and this line? I couldn't

Hello All, I am new to R. I am trying to process this huge data set of matrix containing four columns, say x1, x2, x3, x4 and n number of rows. I want to aggregate the matrix by x1 and perform statistic based on columns x2, x3, x4. I tried aggregate function but it gave me memory allocation error (which I am not surprised), so I ended up performing a for loop based on x1 and

i want to plot values with frequency on a logarithmic x axis. similar to this example that i found in the web: http://www.usspeaker.com/jensen%20p15n-graph.gif I would like to convert long numbers to si prefix notation like in the example (200000 to 200k, 35000000 to 3.5 M) Of course i could create labels by hand, but i have many files so i need some automatic function. Has anyone done that

Dear Sir/Madam, After installing R, I saw this warning message in red when I open the R... During startup - Warning messages: 1: Setting LC_CTYPE failed, using "C" 2: Setting LC_COLLATE failed, using "C" 3: Setting LC_TIME failed, using "C" 4: Setting LC_MESSAGES failed, using "C" 5: Setting LC_PAPER failed, using "C" how shall I solve this ?

Does anyone know of a way of dealing with unbalanced mixed effects (fixed and random factors) for fully factorial designs. An example of such data is given below; The response variable is SQRTRECRUITS SEASON is a random factor DENSITY is a fixed factor Thus DENSITY:SEASON is a fixed factor. Therefore, whereas the effects of SEASON and DENSITY:SEASON should be tested against the overall