search for: normalised

...; : ERROR: Normalisation error for attribute whenCreated in CN=rpc-Ns-Group,CN=Schema,CN=Configuration,DC=samdom,DC=com value '19700101000000.0Z' should be '16010101000000.0Z' Fix normalisation for whenCreated from CN=rpc-Ns-Group,CN=Schema,CN=Configuration,DC=samdom,DC=com? [YES] Normalised attribute whenCreated This repeats 1000+ times for many different entries. The samba-tool unfortunately does not fix the issue because when I start it a second time it will complain again, this time with values switched around: value '16010101000000.0Z' should be '19700101000000.0Z&...

Dear Sir/Madam, I could succesfully normalise my microarray data using marrayNorm package. However, i have not been able to get normalised red and green channel intensities through R package. Is there a possibility to write a formula to calculate back the red and green channel intensities after normalisation of the data. Do I need to incorporate this formula in my R script? I am biologist ans would seek your help to write this f...

Hi all, Our migration is coming along nicely, everything seems to work like it should... I thought... Only samba-tool dbcheck reports five errors: root at dc1:~# samba-tool dbcheck Checking 1143 objects ERROR: Normalisation error for attribute 'objectClass' in 'CN=phdseminar,CN=Users,DC=my,DC=samba,DC=domain' Values/Order of values do/does not match: ['top',

Dear all, I'm writing a package and I would like to reuse the residuals() function. When I use a function which calls the redefined residuals (for my custom class) I get an error (see below). It looks like the wrong method is used. The strange this is, that when it execute the code manually it get no error. Any suggestions? Best regards, Thierry The entire source code is at

Hi Guys, I've done some line recordings, and to save space compressed straight to vorbis, and as such have no access to the original. Upon listening, I found the volume to be quite quiet and I am wondering if there exists a native vorbis normaliser, so I don't have to decompress to wave, normalise and recompress. Does anybody know of such a beast? I'm aware of

Dear all, I want to see if the treatment of an animal with a specific compound has an effect on the expression of certain genes. Though my question is based in biology, it really is all about how to deal with the standard deviation in normalised data. I have three groups of animals; untreated, treated with placebo, and treated with a single concentration of the compound in question. Gene expression is measured in triplicate, that is I have three values for each measurement of each animal, and normalised to a standard gene. My problem is...

Thanks for your patience. I'm still confused of what I should do next. If it's not worth changing anything here as it's a rare case, sorry for my PR to github before the reply, maybe you need to close it on github. For another case, should I optimize current code with replacing set to a static array? Or rollback current modification to cjk-tokenizer and try to do some work with the

...509 4.2077 5.4182 4.1797 7.9248 1.1502 0.753 3.6046 3.6743 11.8299 9.5704 10.7384 8.675 4.9277 13.6898 13.3279 18.4431 12.3946 22.1126 22.7109 19.4623 17.3565 15.27 17.5922 19.5873 The values in each of the nine columns are almost normally distributed but have slightly different heights of nine normalised bell shaped plots. I was trying to plot each row as a point with error bars. The central point will be the mean of the nine values in each of rows and the max and min of the row will be the upper and lower bound of the error bar. I expect a normally distributed plot with spikes around. Ca...

On Tue, Jan 9, 2024, at 3:28 AM, Olly Betts wrote: > Thanks, that looks good - now merged. Thanks! > Did you already check the other ranges for cased letters? I can but if > you have already there's not much point. I did not. If you find time, that'd be great. Otherwise I can make room for it in the next days. > > The fullwidth "????? ??????" tests suggests to

Hello, I did a pca with over 200000 snps for 340 observations (ids). If I plot the eigenvectors (called rotation in prcomp) 2,3 and 4 (e.g. plot (rotation[,2]) I see a strange "column" in my data (see attachment). I suggest it is an artefact (but of what?). Suggestion: I used prcomp this way: prcomp (mat), where mat is a matrix with the column means already substracted followed by a

Hi everyone Can anyone tell me how I normalise a power spectral density (PSD) plot of a periodical time-series. At present I get the graphical output of spectrum VS frequency. What I want to acheive is period VS spectrum? Are these the same things but the x-axis scale needs transformed ? Any help would be greatly appreciated Tom

Thanks for the suggestions, one option i was thinking was to center the universal channel and sample channels by normalising the medians of each column of the matrix on each channel. But I don't know if it is appropriate to do a loess after this? Does the quantile option actually do this? Peter At 06:59 PM 7/28/2004, you wrote: >At 06:02 AM 29/07/2004, Peter Wilkinson wrote:

Dear list, I would like to generate random numbers from a Voigt distribution, hopefully in a way as simple as getting random numbers from a normal distribution with 'rnorm'. Is there any package to do this? Speed is an issue in this application. Or, as the Voigt distribution is a convolution of a Gaussian and a Lorentzian, can I simply combine random numbers from rnorm and rcauchy in some

...er. Not without decoding/encoding. I asked about this a couple of years ago. Unlike MP3, the Ogg Vorbis format doesn't store a global gain setting per frame. I have often downloaded MP3 files from mp3.com and other sources for broadcasting, and with the type of music I need, it is often not normalised before encoding so I find it very useful to be able to normalise the volume of the MP3 file without losing quality. It is a shame that in the future when Ogg Vorbis is the codec of choice, I'll have to re-encode. Hopefully some more work can be done to reduce the artifacts from re-encoding....

Dear R Users, Are there any packages in R which carries out a normalisation to variables as follows: - find the empirical distribution function, using perhaps ecdf - use the empirical distribution function to transform the variables into a series between 0 and 1 - use this series to map the variables into the normal distribution function, using qnorm - perform a regression on the transformed

...ome data I working on I am merely plotting time against temperature for a variable named filmclip. So for example, I have volunteers who watched various film clips and have used infared camera to monitor the temperature on their face at every second of the clip. The variable names I have used are Normalised ( for the temperature) and Frame (for the time in seconds). So I have fitted a linear model model<-lm(Normalised~Frame,data=All,subset=((Subject==1)&(Filmclip=="Whatever") and coef(model) gives me an intercept value and a value for the slope. Now what I want to do is find out i...

hi all, I need to normalize a function, did something exist in R who can do it for me, instead of integrate the function then divide it by the result? thks, i'm sorry i didn't found any information in the documentations and statistic vocabulary in english is a pain for me. //////////////////////////////////////////////////////////// // Webmail Oreka : http://www.oreka.com

Hi, I am using libxapian in a C++ project (hence I am using Xapian's C++ API) and some user has requested that search requests should ignore accents. E.g. when the user searches for "Herr Müller" he expects that "Herr Muller" is also a search hit. Is this possible in Xapian? Do you have any links to the documentation of that feature? Thanks for your help, Kim

I am using R to do a loess normalisation procedure. In 1.5.1 I used the following commands to normalise the variable "logratio", over a 2d surface (defined by coordinates x and y): > array <- read.table("121203B_QCnew.txt", header=T, sep="\t") > array$logs555<-log(array$s555)/log(2) > array$logs647<-log(array$s647)/log(2) >

...4, 0.7 B, 3, 7.2, 0.8 B, 4, 7.8, 0.6 C, 1, 5.6, 1.1 C, 4, 5.2, 1.3 C, 5, 5.9, 1.2 C, 6, 6.1, 1.2 C, 7. 3.2, 1.1 For each value of LVEF and ES_Time I would like to normalise the value to the maximum for that factor grouped by Base or Image number, adding an extra column to the data frame with the normalised value in it. So for the Base = B group in the data frame (the data frame should have the same length I'm just showing the B part) I would get a modified data frame as follows. Base, Image, LVEF, ES_Time, Norm_LVEF, Norm_ES_Time ... B,1,7.4, 0.7, 7.4/7.8, 0.7/0.8 B, 3, 7.2, 0.8, 7.2/7.8, 0.8...