similar to: plot with standar deviation (use abline and mad())

Hello R-help I have the following data for a standard curve concentration(nM),fluorescence 0,48.34 2,58.69 5,70.83 10,94.73 20,190.8 50,436.0 100, 957.9   (1)Is there function in R to plot a spline. (2)How can I interpolation,say 1000 point from 0nM-100nM and store this as a data frame of concentration,fluorescence (3)How can I modify the code below so that instead of retrieving a concentration

Dear All, I am doing experiments in live plant tissue using a laser confocal microscope. The method is called "fluorescence recovery after photo-bleaching" (FRAP) and here follows a short summary: 1. Record/ measure fluorescence intensity in a defined, round region of interest (ROI, in this case a small spot) to determine the initial intensity value before the bleaching. This

R-help, I have the following file I want to import to R (some lines removed) Calibrated CTD data for station:00280001 Calibrated:23/8 2001, Salinity Unsmoothed, Fluorescence Uncalibrated Maximum observed depth: 36 m QUAL has one digit for each of pressure, temp., sal. and fluor. QUAL=1:Uncal., QUAL=2:OK, QUAL=6:Interp., QUAL=9:No data

Hi all. I'd like know what is the format file saved by Leica Microsystems TCS SP2-AOBS equipped with a SP2-FCS2 Leica Microsystems workstation its datas. Cause it save in *.fcs extention file but ins't flow cytometry standart format file... Tahnks Horacio.

Hi. I would like to know if is it possible to estimate zero-truncated count models with robust standard errors in R. In Stata that is possible. I already made some searches and attempts but not obtained it. In R I made the estimation of the truncated poisson by the vglm command of VGAM package . -- View this message in context:

Dear all, I have a big data matrix and I want to convert those data into weekly basis which means 7 days needs to be avaraged and aggregate a single value > dput(test) structure(list(locid = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,

Why the standadard errors of the coefficientes of the arma models fited by using the arima procedure in the stats package doesnt coincide with that of S+, minitab or SAS? -- Este mensaje ha sido analizado por MailScanner en busca de virus y otros contenidos peligrosos, y se considera que est? limpio.

Hi all, excuse me by this elementary question. I wish to know if a package in language R exists to analyze FCS (Fluorescence Correlation Spectroscopy) datas. And, if it possible, in addition can read the archives in raw format generated by the ConfoCor2 program. Thanks Horacio. **************************************************************************** Dr. Horacio Castellini

I haven't been able to fully make sense of the conflicting online information about whether and how to specify nesting structure for a nested, mixed model. I'll describe my experiment and hopefully somebody who knows lme4 well can help. We're measuring the fluorescence intensity of brain slices from frogs that have undergone various treatments. We want to use multcomp to look for

Hello, I can`t figure out how can increase the velocity of the fitting data by nls. I have a long data .csv I want to read evry time the first colunm to the other colunm and analisy with thata tools setwd("C:/dati") a<-read.table("Normalizzazione.csv", sep=",", dec=".", header=F) for (i in 1:dim(a[[2]]]) { #preparazione dati da analizzare

Hello everyone, I have come across a bit of an odd problem: I am currently analysing data PCR reaction data of which part is behaving exponential. I would like to fit the exponential part to the following: y0 + alpha * E^t In which Y0 is the groundphase, alpha a fluorescence factor, E the efficiency of the reaction & t is time (in cycles) I can get this to work for most of my reactions,

I am looking for examples of code that demonstrates the fine tuning of the strip panels in lattice graphics and uses plotmath characters. The code for the graphic is as follows: xyplot(lagy ~ n | rho1 * rho2, data= data, layout=c(2,6), span = 1, xlab = "Sample Size", ylab = "Bias in the Coefficient for the Lag of X", type = "o") rho1 is a four level factor

On 6/5/2015 1:33 PM, Michael Hennebry wrote: > It's a desktop in an old house. > The outlets have ground-fault protection, > but the third prong is ungrounded. > not sure how GFI would function at all without a valid ground, unless the GFI is wired to neutral, which is dangerous on its own. you might get a 3-prong-to-2-prong adapter and plug the PC into that, leaving the ground

Hi, Can anyone shed some light on this: My PC's are on a separate power circuit. Each PC has its own UPS. I have an old Honda generator. When the power goes out, I fire up the generator. However, the UPS's still run on battery. If I connect the PC directly to the socket and bypass the UPS, the PC works. I was told by a UPS supplier, that the power output from the generator was

Pete Biggs wrote: > >> There are devices that are using PXE-boot and require access to the company LAN. >> If I was to allow PXE-boot for unauthenticated devices, the whole thing would be >> pointless because it would defeat any security advantage that could be gained by >> requiring all devices and users to be authenticated: Anyone could bring a device >> capable

I am not sure if I should ask this question in this list. But I'll try. Currently I am trying to analyze images using EBImage and biOps. One of the features that I need to extract from various images is the color spectrum, namely, which colors each image consists of. So, each image hopefully can be converted into some sort of color histogram so that color ingredients are easily comparable

To add to the wish-list for "convolve": For modeling processes that decay exponentially in time, e.g., fluorescence, it is desirable to have a function that convolves an arbitrary vector with an exponential using an iterative method. In the TIMP package (which won't be on CRAN till R 2.5.0 is official, but is for now at www.nat.vu.nl/~kate/TIMP) we implemented this special-purpose

http://dovecot.org/test/ Hopefully better release than last one. Fixes several problems test66 had and also some older problems reported in this list. It also contains a pretty large mbox code cleanup, fixing several problems (especially related to X-IMAP/X-IMAPbase headers) and making it a bit faster. Maybe I'll backport it to 1.0-stable too when it looks like it's stable.. BTW. mbox

Hi, I must be doing something silly here, because I can't get the studentised and standardised residuals from r output of a linear model to agree with what I think they should be from equation form. Thanks in advance, Jennifer x = seq(1,10) y = x + rnorm(10) mod = lm(y~x) rstandard(mod) residuals(mod)/(summary(mod)$sigma) rstudent(mod)

That article is a bit too dismissive. I agree that one cannot hear the difference between 48KHz/16bit and 192KHz/24bit if you just transfer the data directly to the audio output device. As such, there is no good reason for Opus to support higher than 48KHz (especially since this is lossy compression, anyway). However, in general, that's not all you do with audio data. 192KHz is useful for