search for: tendencies

Greetings, This seems too rudimentary to ask but for the life of me I cannot locate a readily easy method to compute the univariate mode. I know "mode" is not correct and "table" provides a reasonable count but I figured there would be an easy way to extract the value from the table after I do something like: max(table(mydadat$myvar)) unfortunately it only returns the max

Dear all I am so glad the R can provide the efficient calculate about eigenvector and eigenvalue. However, i have some puzzle about the procedure of eigen. Fristly, what kind of procedue does the R utilize such that the eigen are obtained? For example, A=matrix(c(1,2,4,3),2,2) we can define the eigenvalue lamda, such as det | 1-lamda 4 | =0 | 2 3-lamda | then

On 23 August 2016 at 00:42, Martin Peres <martin.peres at free.fr> wrote: > v2: > - guard LED framework calls with ifdef CONFIG_LEDS_CLASS > IIRC kernel has the tendency of using static inlines in the headers when CONFIG_foo is not set. Worth using that and removing the ifdef from the source file ? -Emil

...role: roles(:administrator) two: user: users(:superuser) role: roles(:user) ==== ... but no combination of "roles(:user)", "roles(:user).find", "roles(:user).find.id" etc appears to create the correct associations. Before Marnen tells me to put aside my Luddite tendencies and that I should learn factory_girl or Machinist or the next testing framework du jour, is there any sensible way to do this using fixtures? - ff -- Posted via http://www.ruby-forum.com/. -- You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk&quo...

Hi, I have a data frame and would like to have summary statistics for grouped data. With summary() I get the central tendencies for the overall data. How can I get descriptive statistics with variances and standard deviations? for example my data.frame: group x y exp 2 4 exp 3 5 exp 2 4 control 1 2 control 2 3 control 1 2 now I want tables with summary statistics (variances included) for each group. Is there...

Is there a function that would allow me to create a line graph of some central tendency, such as mean, with limits indicated by a vertical line at each data point, i.e. SD? It's a fairly common type of graphic, but in looking through examples I have been able to find, I have found no function for such a graph. Thanks in advance, Harvey

I've noticed recently that the latest version of Adobe's Acrobat Reader (9.3) has a really annoying tendency to stop for 30-60 seconds shortly after it starts up to read/display a PDF file. I don't see this on my Windows copies, just on CentOS. Anyone know what's up with that? Thanks. mhr

Nico Kadel-Garcia wrote: > in places where I do not want OpenSSH server's tendency ro let > people with access look around the rest of the filesystem. If you want users to be able to use *only* SFTP then set a ChrootDirectory and ForceCommand internal-sftp in a Match for the user in sshd_config. //Peter

Hi, Since I''ve installed ruby and ruby-gems from source, then installed facter and puppet as gems, I don''t get the usual startup scripts shipped with RPMs. Rebuilding the ruby RPM is painful, mostly because Red Hat (and pretty much every vendor) have this tendency to include random files and patch the living daylights out of a perfectly good source package so that converting

I have insect data from twelve sites and like most environmental data it is non-normal mostly. I would like to preform an anova and a means seperation like tukey's HSD in a nonparametric sense (on some sort of central tendency measure - median?). I am searching around at this time on the internet. Any suggestions, books, etc. would be greatly appreciated. -- Stephen Sefick Research

On 26 August 2015 at 17:21, David Blaikie <dblaikie at gmail.com> wrote: > (oh, and add long cycle times to the list of issues - people do have a > tendency to ignore bots that come back with giant blame lists & no obvious > determination as to who's patch caused the problem, if any) Yes, but remember, not all hardware is as fast as a multi-core Xeon server. Build times

I apologize for what may be a sore subject. 4 billion documents is a heck of a lot. 64 bit vs 32 bit would be an incredibly large database with an average document and term size. Why 128 bit? Simply for address space. Mapping a UUID (128 bit) or MongoDB ObjectID (96 bit) directly into the Xapian document space removes the need for referencing one or the other from one or both. I see a common

Alle, I have a major problem. I'm running CentOS 5.5 on some rather old hardware (Dual Celeron 500MHz with 768MB of memory). Sometime in the last week, the DB became corrupted (I noticed when yum update would hang). I've tried running rpm --rebuild with both the 2.6.18-194.17.4 and 2.6.18-194.26.1 kernels and get a segmentation fault each time. Consequently, I'm pretty much stuck

Hi, I performed an experiment where I raised different families coming from two different source populations, where each family was split up into a different treatments. After the experiment I measured several traits on each individual. To test for an effect of either treatment or source as well as their interaction, I used a linear mixed effect model with family as random factor, i.e.

Dear list, I am looking for a possibility to present results in a more graphical way by adding an axis. But I have trouble relating my data to the added axis. Imagine the following example: a <- c(10, 20, 30, 40) b <- c(50, 250, 500, 600) ba <- b/a par(las=1, mar=c(5,5,.5,5)) plot(a,b, type="b", pch=22, cex=2, col=4, lwd=2, ylim=c(0,650), xlim=c(0,45)) axis(4,

On Sun, Nov 3, 2013 at 1:02 AM, Daniel Berlin <dberlin at dberlin.org> wrote: > Is there a reason this is better than the modified algorithm created > by Ferrante? > It looks like yours has as bad a worst case time bound in reality. > That is, the algorithm runs in O(sum of the size of all the dominance > frontiers). > > http://www.cs.rice.edu/~keith/Embed/dom.pdf >

Hi, I'm traing to use the GLM to find tendences on my data. E.G. Data.frame: MyData Len Zone Year 12 1 2002 21 1 2003 32 1 2004 32 2 2002 32 2 2003 31 2 2004 3 3 2002 4 3 2003 3 3 2004 32 4 2002 4 4 2003 5 4 2004 I want toi fing tendences on the len, if they change over the year (the anova say yes), but I wan't to include the zone as a Random effect So, I have something like this:

R2.2, WinXP: I am using xyplot( ) to generate time plots of plasma concentration data. The following is an edited version of my code: xyplot(log.conc ~ time| group, data = foo, groups = subject, panel = function(x, y, panel.number, ...) { panel.superpose(x, y, subscripts = TRUE, groups = foo$group, type = 'l', col

Hi, As I can obtain, of a temporary series, if it has some point where a significant change of tendency takes place. Tank's Ramón Hidalgo [[alternative HTML version deleted]]

Hi there, I'm dealing with a pretty big dataset (~22,000 entries) with numerous entries for every day over a period of several years. I have a column "judy" (for Julian Day) with 0 beginning on Jan. 1st of every new year (I want to compare tendencies between years). However, in order to control for a leap year (2004), I simply need to subtract 1 from every judy value for the year 2004 (without altering judy values from other years!). What is the most effective way of going about this? Can I integrally subset within a function of some form?...