similar to: PLS regression on near infrared (NIR) spectra data

Hello, I have a data frame consisting of four columns and would like to sort based on the first column and then write the sorted data frame to a file. > df <- read.table("file.txt", sep="\t") where file.txt is simply a tab-delimited file containing 4 columns of data (first 2 numeric, second 2 character). I then do, > df_ordered <- df[order(df$V1), ] OR,

Hi all, I'm using Ubuntu 14.04 samba 4.1.6 packages, attempting to set up a server for file shares AD clients can use. My previous setup was a simple AD join with a user map file (1 to 1 AD to unix user) that i've been migrating for approximately 7 years, and with the last 2003 AD server removed from the network it stopped working (2008 R2 DC's now). After approximately 2 weeks of

Dear R users, I have two data frames that were read from text files as follows: x_data <- read.table("x.txt", header = TRUE, sep = "|", quote = "\"'", dec = ".",as.is = TRUE,na.strings = "NA",colClasses = NA, nrows = 3864284, skip = 0, check.names = TRUE,fill=TRUE, strip.white = TRUE,

2015-05-04 13:01 GMT+02:00 Rowland Penny <rowlandpenny at googlemail.com>: > On 04/05/15 04:02, Carl Gherardi wrote: > >> Hi all, >> >> I'm using Ubuntu 14.04 samba 4.1.6 packages, attempting to set up a server >> for file shares AD clients can use. My previous setup was a simple AD join >> with a user map file (1 to 1 AD to unix user) that i've

Hi I'm running samba 3.0 with ldap backand and Suse 8.2. If I want to edit ACLs from windows an a samba-share not all users are shown. "holger" i shown but "hein" isn't shown. Andy idea why? It's very strange because both can login the domain. I had to set attribute sambaProfilePath for user "hein" to the sambe value defined in smb.conf. I won't add

Hi all, By default a call to xyplot from the Lattice package when using 2 factors [eg xyplot( dv~iv | XY * AB ) ] yields the following shingle structure: |_A_|_A_|_B_|_B_| |_X_|_Y_|_X_|_Y_| However, I'm wondering if it is possible to merge the upper shingle within levels of that factor, as in: |___A___|___B___| |_X_|_Y_|_X_|_Y_| Mike -- Mike Lawrence Graduate Student, Department of

FROM:mailman-bounces at dovecot.org DATE:27. hein?kuuta 2012 16.58.35 UTC+3.00 TO:dovecot-owner at dovecot.org SUBJECT:CONTENT FILTERED MESSAGE NOTIFICATION The attached message matched the dovecot mailing list's content filtering rules and was prevented from being forwarded on to the list membership. ?You are receiving the only remaining copy of the discarded message. FROM:Asier Cidon

Hi all, Looking to calculate the expected mean and variance of a ratio distribution where the source distributions are gaussian with known parameters and sample values are correlated. I see (from wikipedia: http://en.wikipedia.org/wiki/ Ratio_distribution#Gaussian_ratio_distribution) that this calculation is quite involved, so I'm hoping that someone has already coded a function to

Hi I am very new to R. I used to work in S-Plus a lot but that was years ago. I wrote a large number of functions that I now want to view and edit in R. I know I have to tell R where the functions are but I have no idea how. The functions are stored on my laptop's c-drive. I tried everything I could find e.g. library(myfilepath), source(myfilepath) etc. but nothing seems to work. Hein

Hi all, I'll have to filter Raman spectra and I would like to do so in R. I'm trying to figure out how. Maybe one of you could help me ... This is what I have to do: General: separate the real spectrum (the set of peaks) from two contaminations: a drifting background and (white) noise Constraints (which should help the task): A - the spectrum is positive B - the spectrum is long

Dear all, This is potentially a bug in spec.pgram, when the number of samples is odd,spec.pgramreturns a different result withfast = TRUE, the example below contains the two varieties with a reference spectrum calculated manually. the number of returned spectra is also larger (50 compared to 49) whenfast = TRUE x <- rnorm( 99 ) plot(spec.pgram(x, taper = 0 , detrend = FALSE , plot =

look at the spectrums before you do the cbind - I would not suggest letting R wrap the data to fill in a data frame. I would suggest using something that you "know how it acts" in the frequency domain like zero. You are probably introducing periodicies that are not real, and I would suggest not to go down this path. As for finding commonalities amongst signals- it all depends on what

Open Letter to Developers, Is there any way you can cut through the mob scene at Homeland Defense with a powerful new encryption/decryption formula? The government cryptography bunch are stuck in symmetry and asymmetry and are deaf/dumb/blind to supersymmetry. When it's so easy to line up a supersymmetrical hypercube fractal-to-fractal, pair-to-pair, quantum-to-quantum and slice through

I'm sure this question comes up waaaay to often in this list, and I apologize if I've missed the obvious answer. I did spend the last two hours looking for a solution and trying various things, but to no avail. I'm trying to run a command-line app (text-only). It's a cross-compiler tool for which we only have Windows binaries. The app works fine, but when I run it (i.e. to

I would really appreciate it if someone can give suggestions on how to do spectra fitting in R using ordinary least square fitting and non-negativity constraints. The lm() function works well for ordinary least square fitting, but how to specify non-negativity constraints? It wouldn't make sense if the fitting coefficients coming out as negative in absorption spectra deconvolution. Thanks.

I'm looking to analyze a large data set: a within-Ss 2*2*1500 design with 20 Ss. However, aov() gives me an error, reproducible as follows: id = factor(1:20) a = factor(1:2) b = factor(1:2) d = factor(1:1500) temp = expand.grid(id=id, a=a, b=b, d=d) temp$y = rnorm(length(temp[, 1])) #generate some random DV data this_aov = aov( y~a*b*d+Error(id/(a*b*d)) , data=temp ) While yields the

Hi all, I need to insert the name of spectra in a stacked plot obtained with hyperspec. I use this command plot(spectra [c(-1:-4, -6:-8, -10:-12, -14:-16)], stacked = T) but, in this way R draw nameless spectra on the Y axis. How can I solve the problem? Thank you for any suggestion. Best regards, Roberto -- View this message in context:

Hi all, This is my first post to the developers list. As I understand it, aggregate() currently repeats a function across cells in a dataframe but is only able to handle functions with single value returns. Aggregate() also lacks the ability to retain the names given to the returned value. I've created an agg() function (pasted below) that is apparently backwards compatible (i.e.

Hi Folks... No code to troubleshoot here. I need some suggestions about the right terminology to use in further searching, and any suggestions about R pkgs that might be appropriate. I am in the planning stages of a project in which IR, NMR and other spectra (I'm a chemist) would be collected on various samples, and individual samples would be followed over time. The spectra will be feature

Hi, I had a contractor write a patch to allow CryptoCard support in OpenSSH. It works with portable openssh-2.1.1p4, and it was posted to the SSH mailing lists, but I see that it hasn't been included in the openssh-2.2.0p1 release. Would it be possible to include this patch in the official release? The reason why I ask is because it will not be difficult to do that, it will support the