similar to: sscanf equivalent

Hi R Users, Is there a equivalent command in R where I can read in raw data? For example I'm looking for equivalent R code for following SAS code: DATA survey; INPUT id sex $ age inc r1 r2 r3 ; DATALINES; 1 F 35 17 7 2 2 17 M 50 14 5 5 3 33 F 45 6 7 2 7 49 M 24 14 7 5 7 65 F 52 9 4 7 7 81 M 44 11 7 7 7 2 F 34 17 6 5 3 18 M 40 14 7 5 2 34 F 47 6 6 5 6 50

Hi, [some background] I have a dataset which describes a number of subjects doing a "scientific discovery". That is, they have to discover the rules underlying a particular domain. To do so, they have to set the levels of 5 variables which leads to a certain outcome. To identify what kind of "experiments" the subjects did, I want to combine these levels into one variable

Hi all, I am trying to download some tab separated data from the internet. The data is not available directly at the URL that could be known apriori. There is an intermediate form where start and end dates have to be given to get to the required page. For example, I want to download data for a station 03015795. The form for this station is at:

1. This is an imaginary data on monthly outcomes of 2 years and I want to forecast the outcome for next 12 months of next year. data Data1; input Yr Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec; datalines; 2008 12 13 12 14 13 12 11 15 10 12 12 12 2009 12 13 12 14 13 12 11 15 10 12 12 12 ; run; I converted the above data into the below format to use it in R as it was giving error: asking

Hi guys I have tried compiling this attached code, I made all the buffers 320, there is no trace of a 160 buffer, but I get a " SpeexEncoder requires 320 samples to process a Frame, not 160" error. Maybe there's something I'm missing, here's my code: import java.io.IOException; import java.io.FileOutputStream; import java.io.File; import

Thanks Ross, So you think that I can just numerically add up the appropriate Bytes from each of the streams? If that's so would we be better add first, then to normalise after the additon, so the final byte size is the same as the individual ones, what ever that may be. -------- Original Message -------- Subject: RE: [Vorbis] Mixing inputstreams. Date: Tue, 3 Mar 2009 01:12:35 +1300

I am having trouble with paste function. I dont know how to proceed. I tried many options but i failed miserably. I am using a variable f1 to assign a string as below: f1=dataLine[locAffyProbeID]; ( the value of f1 is 244901_at ) Then I am using the paste function paste("set @g1=", f1); instead of getting set at g1=244901_at, I am getting set @g1=23. I am not able to understand

Ulrich B. Staudinger wrote: > Hi, > > i have: > > public void run(){ > try{ > System.out.println("Opening > mic"); // AudioInput > ai=new AudioInput(t); > // ai.start(); > if(t.input==null){ > AudioFormat format = new

Hello Everyone,   Below is some SAS code that uses a "line hold specifier" to read multiple observations from each of several input lines of data. There are 3 patients per line in the in-stream data.   Is there a way in R to read this kind of data? I've looked in my books and online but haven't found anything   Thanks,   Paul     DATA EXAMP.TRIAL; INPUT TRT $ CENTER PAT SEX $ AGE

Dear R-helpers, I know of two ways to reading data within an R program, using textConnection and stdin (demo program below). I've Googled about and looked in several books for comparisons of the two approaches but haven't found anything. Are there any particular advantages or disadvantages to these two approaches? If you were teaching R beginners, which would you present? Thanks, Bob

Hi All, I'm working with some SAS code to analyze an experiment set up as follows: 66 subjects (colonies) treated with a random treatment (1-8) and measured at three time points. The data structure looks like: input colony tmt y1 y2 y3; y=y1; date=*1*; output; y=y2; date=*2*; output; y=y3; date=*3*; output; datalines; 1

I have been attempting some basic power calculations using R and I am not getting the results I expect. I had a homework assignment in SAS, but I want to learn R as well, so I was attempting to reproduce my result. (No one else in the class is doing R, so there's no need to obsfucate the answer, the SAS code is what I get my grade for.) The code I am using is: # You assume that the

I am trying to use auto.arima to fit a univariate time series and do forecast. This is an imaginary data on monthly outcomes of 2 years and I want to forecast the outcome for next 12 months of next year. data Data1; input RR; datalines; 12 14 17 15 13 15 15 14 15 14 16 15 15 18 16 16 15 14 15 16 16 14 13 12 ; run; I successfully took this data into R and used the auto.arima codes but am getting

Is there a means to split a vector into its individual elements without going the brute-force route for arguments to a predefined function call? offred.rgb <- c(1, 0, 0) * 0.60; ## Brute force style offred.col <- rgb(offred.rgb[1], offred.rgb[2], offred.rgb[3], names = "offred") ## Desired style

Dear all, I was wondering if anyone can help? I am an R user but recently I have resorted to SAS to calculate the probability of the event (and the associated confidence interval) for the Cox model with combinations of risk factors. For example, suppose I have a Cox model with two binary variables, one for gender and one for treatment, I wish to calculate the probability of survival for the

Hi I am getting lost ogg sync exception when I tried to decompress a speex stream. I am using the following program for both compressing as well as decompressing. I am just planning to test how jspeex works. // File AudioCapture.java import javax.sound.sampled.spi.*; import javax.sound.sampled.*; import org.xiph.speex.spi.*; import java.util.*; import java.net.*; import java.io.*; public

Hi I am getting lost ogg sync exception when I tried to decompress a speex stream. I am using the following program for both compressing as well as decomressing. I am just planning to test how jspeex works. // File AudioCapture.java import javax.sound.sampled.spi.*; import javax.sound.sampled.*; import org.xiph.speex.spi.*; import java.util.*; import java.net.*; import java.io.*; public

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Anyone aware of tools available that can provide complexity metrics and/or code coverage analysis for R source? ---------------------------------------------------------- SIGSIG -- signature too long (core dumped)

Is there a canonical means to apply a function over multiple arrays simultaneously? For example, if I wanted to plot each line with a different color? Or is a for loop conversion my best option? x <- seq(0, 8, by = 2) y <- matrix(1:15, nrow = 5, byrow = TRUE) my.colors <- heat.colors(3) drawLines <- function(row) { lines(x, row) # want corresponding 'my.colors' here }