similar to: Software FAX Modem--One Last Request For Help

I am also having problems receiving my first fax. I get a 320byte file (for a 4 page fax). If I look a the tiff generated, is just has some few dots. I am sending the fax from a notebook with Windows XP to an X100P and using libtiff v3.5.7. Has anyone successfully received faxes ? Output to the console as follows: Changed from phase 0 to 1 > Start receiving document > Changed from

Hello, I tryed out spandsp with libtiff-3.5.7 and with Asterisk from CVS. I tryed to receive a fax on a CAPI channel. Finally I got a file with 8 byte length (/tmp/testfax.tif). How can I do next? Thanks in advance, Thomas ps: what are hardware requirements for sending/receiving faxes? -- creating pipe for PLCI=0x101 msn = 2258589 > sent ALERT_REQ PLCI = 0x101 --

Hi all, I have installed FAX app as described in several mails. When a fax call is received, I get the following in the * console: -- Starting simple switch on 'Zap/1-1' -- Executing Answer("Zap/1-1", "") in new stack -- Executing Ringing("Zap/1-1", "") in new stack -- Executing Wait("Zap/1-1", "2") in new stack

hi, - big and ugly mail. If you don't like them, delete it now :-) - I have collected and classified some information of: http://home.earthlink.net/~rwhron/kernel/bigbox.html And I observed that ext3 performance is worse than previous kernels(2.4.19...). -ac and -aa are here only as reference. Complete information is in the upper URL. dbench: Performance is worse. dbench (Numbers are in

HI, GUYS, I used the following codes to run SVM and get prediction on new data set hh. dim(all_h) [1] 2034 24 dim(hh) # it contains all the variables besides the variables in all_h data set. [1] 640 415 require(e1071) svm.tune<-tune(svm, as.factor(out) ~ ., data=all_h, ranges=list(gamma=2^(-5:5), cost=2^(-5:5)))# find the best parameters. bestg<-svm.tune$best.parameters[[1]]

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 all, I have a function rho.f which gives a list of estimators. I have the following problems. rho.f(0.3) gives me the right answer. However, if I use rho.f(corr[4]) give me a different answer, even though corr[4]==0.3. This prevents me from using a for loop. Can someone give me some help? Thank you very much in advance. Hannah >

Hi, I've this dataframes: > data1 1 2 3 4 5 6 5 0.4963017 0 0 0.2481509 1.9852069 0.4963017 10 0.0000000 0 0 0.0000000 0.6317266 0.0000000 15 0.0000000 0 0 0.0000000 0.0000000 0.0000000 20 0.0000000 0 0 3.3955301 0.0000000 0.0000000 25 0.0000000 0 0 0.0000000 0.0000000 0.0000000 30 0.0000000 0 0 0.0000000 0.0000000

Hi, R-users, data is a matrix like this AMR BS GE HR MO UK SP500 1974 -0.3505 -0.1154 -0.4246 -0.2107 -0.0758 0.2331 -0.2647 1975 0.7083 0.2472 0.3719 0.2227 0.0213 0.3569 0.3720 1976 0.7329 0.3665 0.2550 0.5815 0.1276 0.0781 0.2384 1977 -0.2034 -0.4271 -0.0490 -0.0938 0.0712 -0.2721 -0.0718 1978 0.1663 -0.0452 -0.0573 0.2751 0.1372 -0.1346

#Here is a vector of IDs > cwaves [1] 86 90 185 196 197 209 210 215 216 217 218 #Here is a matrix. The rows and columns correspond to the IDs in cwaves, and the matrix is populated with a coefficient > mat 86 90 185 196 209 210 215 216 217 218 86 0 0 0 0 0 0.00000 0 0.000000 0.000000 0.000000 90 0 0 0 0 0 0.00000 0

Hello All, I have searched many help forums, message boards, etc. and I just can't apply the comments to what I need my program to do. I am running R 2.5.1 on an XP system, and my desire is to produce replicate datasets for a simulation study I am running. Essentially, I have sets of parameters (a's, b's, and c's) that define a function which produces a decimal value. This

Hello, Can anyone explain the following behaviour? To me it seems a bug, but maybe it is intentional. It seems that a diff on a zooreg class that is not _strictly_ regular only considers those entries that are 'deltat' apart. In the following, diff on the zooreg class only returns values where the index was one second apart. The example replicates by dev code, but I've also tested

Dear R groups: I have the data as follows, I want to plot the "Rank1 ~ obs30*Cases" and "Rank2 ~ obs30*Cases" on the same plot as one 3-D scatter plot, how to do that? Any help is highly appreciated. ID obs30 Cases RANK1 RANK2 1 0.03175 63 82 81 2 0.00000 34 1 34 3 0.00000 36 2 41 4 0.00000 54 3 26 5 0.00000 22 4 42 6 0.00746 134 39 32 7 0.00000 2 5 53 8 0.01190 168 46 31

I tried to run a GLM model using S-Plus and R. The same model and data were applied to the both packages. I got different results of P(>|Chi|) for Anova, between S-PLus and R. Other estimates values are the same. P(>|Chi|) for S-Plus: 0.99565 0.99682 0.04871 0.84597 1.00000 0.99999 1.00000 1.00000 1.00000 0.95834 P(>|Chi|) for R: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000

Hi, I want to do a meta-analysis with count data for treatement/control cases. Mi problem is that I need to use zero values (an informative zero value) for the mean and standard deviation for one of the treatement, but R has a problem: "Studies with zero values for sd.e or sd.c get no weight in meta-analysis". I can agroup the case by Family (byvar=Family). ¿Can you help me? Thanks!

I am trying to multiply a 3D array of 4x4x4 by the 4 3D arrays of a 4D array with dimensions 4x4x4x4 (the last dimension being the one that I want to split by). (4x4x4 array) > hiaAry , , a1 i1 i2 i3 i4 h1 9.5936098 6.001040 0.08772 0.3138600 h2 1.2003500 1.454570 2.79248 0.0000000 h3 0.1346500 0.201220 0.39256 0.5464000 h4 0.0109000 0.012270 0.16417 0.2766900 ,

Hi, I have two matrices, A (axd) and B (bxd). I want to get another matrix C (axb) such that, C[i,j] is the Euclidean distance between the ith row of A and jth row of B. In general, I can say that C[i,j] = some.function (A[i,], B[j,]). What is the best method for doing so? (assume a < b) I have been doing some exploration myself: Consider the following function: get.f, in which,

Hello, I''m trying to install the upload_progress gem and i can''t see the upload progress status. My config is : apache2 with mod_proxy mongrel rails upload.rb : ############## require ''rubygems'' require ''drb'' require ''gem_plugin'' GemPlugin::Manager.instance.load ''mongrel'' => GemPlugin::INCLUDE

My goal is simple: calcuate GC content of each sequence in a list of nucleotide sequences. I have figured out how to vectorize, but all my attempts at memoization failed. Can you show me how to properly memoize my function? There is a StackOverflow post on the subject of memoization, but it does not help me: http://stackoverflow.com/questions/7262485/options-for-caching-memoization-hashing-in-r

[Using R 2.2.0 on Windows XP; OK, OK, I will update soon!] I have noticed some undesirable behaviour when applying ifelse to a data frame. Here is my code: A <- scan() 1.000000 0.000000 0.000000 0 0.00000 0.027702 0.972045 0.000253 0 0.00000 A <- matrix(A,nrow=2,ncol=5,byrow=T) A == 0 ifelse(A==0,0,-A*log(A)) A <- as.data.frame(A) ifelse(A==0,0,-A*log(A)) and this is the output: