search for: uninterpretable

Hi folks, thanks for the useful code! I've added some functionality to PHP Markdown Extra and PHP SmartyPants. Diffs attached. For PHP Markdown Extra: *A new config option, MARKDOWN_HEADER_BASE, which sets the largest header level that Markdown can generate and defaults to 1; useful if you use <h1> for site-wide elements and want Markdown-generated headers to start at

In lib-storage/index/maildir/maildir-storage.c maildir_is_valid_create_name() and maildir_is_valid_existing_name() the following sequence of tests appear but I don't really understand why if ((storage->flags & MAIL_STORAGE_FLAG_FULL_FS_ACCESS) != 0) return TRUE; if (*name == '~' || strchr(name, '/') != NULL) return FALSE; If MAIL_STORAGE_FLAG_FULL_FS_ACCESS is

Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > > On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: > > Folks: > > [snip snip snip] > > > > Is there a way to do a conditional importFrom based on the OS? Or can I > > safely ignore this (I'm trying to submit to CRAN). > > > > Yes, you can put conditionals into the

> container format are called. CMML as a timed text codec has a mime > type of text/cmml. Similarly, the textual representation of Kate > should be text/x-kate. Agree, as both of these are text. > When you encode Kate in Ogg, it would not normally be expected to come > without audio or video. Thus, if it's an audio file, it should be > video/ogg - for a video file it should

...n this experiment twice, once with each methodology. Methodology is a between-subjects factor. Trying to run this analysis with every factor included (ie, subject as a random factor, session nested within group nested within experiment) seems to me (after having tried) to be clumsy and probably uninterpretable. My favoured model for the analysis is a linear mixed-effects model, and to combine the data meaningfully, I have collated all the pretest data for controls and trained subjects from each experiment, and assumed this data to represent a population sample for naive subjects for each experiment....

...h of seven tree species at each of seven different sites. It's a lot of data to put on one figure, I know. I made a beautiful, interpretable figure using color, but my target journal can't deal with color figures. I can use seven shades of grey to fill the boxes, but the figure then becomes uninterpretable - the colors of adjacent boxes are too similar. I cannot figure out how to add a pattern, hatching, or cross-hatching to the boxes. I see that in 2003 Professor Ripley confirmed that one cannot hatch boxplots: http://tolstoy.newcastle.edu.au/R/help/03a/2622.html Is this still true? If so, does a...

I''m working on a RESTful app, and I''ve hit a snag. Here''s a simplified example of the problem. (Excuse me if this example code isn''t strictly correct; I''m typing from memory.) Suppose I have a table which models a simple counter. It has a single column, "count": class CreateCounters < ActiveRecord::Migration def self.up

To provide you with a proper answer, I'd have to read what you do to the text data to encode it in binary. Haven't got the time for that right now, sorry. But if it is some binary encoding and not just a gzip-type compression, maybe application/x-kate may indeed be appropriate. This would however mean that some specialised application is required to decode the data. I might spend some

On 04/10/2015 7:34 PM, Ben Bolker wrote: > Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > >> >> On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: >>> Folks: >>> > > [snip snip snip] > >>> >>> Is there a way to do a conditional importFrom based on the OS? Or can I >>> safely ignore this (I'm trying

Dear r-helpers, Prior to analysis of variance, I ran the Boxcox function (MASS library) to find the best power transformation of my data. However, reading the Boxcox help file, I cannot figure out if this function (through its associated log-likelihood function) corrects for * normality only * or if it also induces * homogeneity of variances *. I found in Biometry (Sokal and Rohlf, p. 419)

...testing some DTMF-driven applications over VOIP (legacy systems which use fast pulses of standard DTMF tones). The applications work fine when Digium IAXy's are used - no loss or garbling of DTMF tones. However, when we use SIP modems (such as Sipura 1000's), the DTMF tones are frequently uninterpretable and our applications have to ask for retries. I am under the impression that the IAXy is digitizing DTMF tones and sending just the "pure" data, rather than the audio representation, and that this explains why the IAXY's work flawlessly in this application. I am also under the impre...

Hello, If I try to use the crypt schemes provided by libc. I fail as follows: jnikula at jlaptop:~/$ doveadm pw -s SHA512-CRYPT -p 123456 {SHA512-CRYPT}$6$to2umWLDtqvzS8SV$ZGpBeGNKuUN/2HKG6I2BEAt.Gzrz/y.SZDkos2GT2ik8obnp3XCFWfVsKVriJa6jjHULmLIqCSSyaF5YrTH7u. jnikula at jlaptop:~/$ doveadm pw -t

...he stenting procedure) Cr INR BR MELD The data set has over ten physicians. Following the examples in "Introductory Statistics with R" I have been able to draw cumulative survival curves and even the survival curves by physician but there are so many curves on the graph when I do, it is uninterpretable. I would just like to plot the survival curves of say the top two or three. That would be much more useful. I have been able to create a "Surv" object out of my own survival data and that of a colleague in the following way using indexing: >Surv(days[viatorr[6]=="Pierce"| v...

I lost one channel on an FXO module on a Sangoma A200 card due to a lightening zap in the area (well - it died the same night as a major thunder storm came through).... Is there a recommended/standard surge protector for phone lines I should be using? My server has 2 POTS lines. thanks Todd

...f Freedom: 15 Total (i.e. Null); 9 Residual Null Deviance: 40740 Residual Deviance: 19880 AIC: 20000 Third problem: if mean value contrasts are used, the level names are not attached to the variable name, but simply the number of the category. This rightly drives students mad and is simply uninterpretable if the levels have been sorted. It takes a great deal of extreme care to try to find out to what the numbers refer. > options(contrasts=c("contr.sum","contr.poly")) > > z Call: glm(formula = Freq ~ Reg66 + Reg71, family = poisson) Coefficients: (Intercept) Re...

...f Freedom: 15 Total (i.e. Null); 9 Residual Null Deviance: 40740 Residual Deviance: 19880 AIC: 20000 Third problem: if mean value contrasts are used, the level names are not attached to the variable name, but simply the number of the category. This rightly drives students mad and is simply uninterpretable if the levels have been sorted. It takes a great deal of extreme care to try to find out to what the numbers refer. > options(contrasts=c("contr.sum","contr.poly")) > > z Call: glm(formula = Freq ~ Reg66 + Reg71, family = poisson) Coefficients: (Intercept) Re...

> I'm testing this. Meanwhile, a brief question, do you really want > Kate's media type to be "application" as opposed to "text"? Thanks. About the media type, my understanding was that text was for actual text, not binary that could be decoded into text. If you think another would be more appropriate, please tell which. If it would be text/x-kate, I'd see

Hi, What is the function for inverse normal transformation? Thanks, Carol [[alternative HTML version deleted]]

Hi there, I have a relatively simple question, though, I couldn't find a solution for it so far. I have a table with 1000 entries and columns containing information about different parameters for each entry. What I want to do is group all parameters from one of the columns [e.g. if all 1000 entries are grouped in 30 different categories (described as character strings) in a second column] and

Dear R users, I am analyzing several response variables (all scaled to [0;1]) using a multivariate linear model. After fitting the model, I set up a hypothesis matrix to test specific contrasts for these response variables; for example: "a always increases significantly more than b when regressed against x". What I am stuck with now is how to calculate the correct F-values (and