search for: inertia

...heir unique and binary interactive variance, I run the ~30 conditioned RDAs necessary to determine the "pure effects" of each group and the "pure binary interactions" of those groups with each other. My method for partitioning the variance of binary interactions is as follows: Inertia of the interaction of water chemistry and geography = inertia of the combined effect (conditioned on the remaining groups) - Inertia of just Waterchemistry - inertia of just geography. When I do this for each combination two problems arise: 1. I get small negative numbers when 0 should be the low...

Dear all at the R-project help list. I have run into a problem when it comes to getting values for "total inertia" and "R-squared" for my DCA using "decorana" in the package "vegan". I have tried the "goodness" function, but the reply indicates that it does not work with "decorana" class objects. In Canoco one gets the Total inertia in the output together...

Hello, For Lua inclusion in Syslinux an idea to ship with an com32/lua/assist directory and an com32/lua/patches directory. In the patches directory patches against a pristine lua tarball and the assist dir contains scripts for further tayloring. This is what I have in mind: | milleune at inertia:~ | $ git clone http://www.stappers.it/tracking/syslinux/.git syslinux-lua-stappers | milleune at inertia:~ | $ cd syslinux-lua-stappers/ | milleune at inertia:~/syslinux-lua-stappers | $ cd com32/lua | milleune at inertia:~/syslinux-lua-stappers/com32/lua | $ ls | assist patches README.syslinux...

Hola compañeros de la lista. Qué tal. Tengo un análisis de componentes principales, en el que se evalúan aproximadamente 1000 variables. Usando la función dudi.pca e inertia.dudi obtengo una cantidad de información sobre la influencia de las variables sobre los dos componentes principales. Me gustaría saber si existe alguna función que sobre esta información me arrojara la lista de cuáles son las variables que más influyen sobre el resultado. Revisando la info...

...to solve the problem. I have put in my data R, using the "decorana" function in the package "vegan" and received nice coordinates for the DCA of sites and species, as well as the Eigenvalues for the four axes. My problem is that I can not figure out how to get the "Total inertia", or the "R-squared" value. I thought that I could solve this problem by using the "goodness" function, but then receives the message "Error in UseMethod("goodness") : no applicable method for 'goodness' applied to an object of class "summary...

...cnmTRE_25_2_CS25 + pcnmTRE_25_5_CS25 + mydata$TreeCov + mydata$Hab_Config + pcnmEYR_EO_100_CS25 + pcnmEYR_EO_5000_CS25 + pcnmEYR_TH_10_CS25 + pcnmEYR_TH_2_CS25 + mydata$Site_No + mydata$Landscape + Condition(pcnmCS_NULL + mydata$LAT.x + mydata$LONG.x), na.action = "na.omit") Inertia Proportion Rank Total 1.8110 1.0000 Conditional 0.8681 0.4793 32 Constrained 0.0000 0.0000 0 Unconstrained 0.9429 0.5207 29 Inertia is variance Some constraints were aliased because they were collinear (redundant) Eigenvalues for unconstrained axes: PC1...

...es El 27 de agosto de 2013 23:14, Argel Gastélum Arellánez < argel.gastelum@gmail.com> escribió: > Hola compañeros de la lista. Qué tal. > > Tengo un análisis de componentes principales, en el que se evalúan > aproximadamente 1000 variables. Usando la función dudi.pca e inertia.dudi > obtengo una cantidad de información sobre la influencia de las variables > sobre los dos componentes principales. Me gustaría saber si existe alguna > función que sobre esta información me arrojara la lista de cuáles son las > variables que más influyen sobre el resultado. > &...

...lsx", sheetName="env", header = T, row.names = 1) > strain.cca <- cca(strain.data ~ Ph+TotalN+Organicmatter+Ca+K+Na+P+Cu+Mn, data=env.data) > strain.cca Call: cca(formula = strain.data ~ Ph + TotalN + Organicmatter + Ca + K + Na + P + Cu + Mn, data = env.data) Inertia Proportion Rank Total 5 1 Constrained 5 1 5 Unconstrained 0 0 0 Inertia is mean squared contingency coefficient Some constraints were aliased because they were collinear (redundant) Eigenvalues for constrained axes: CCA1 CCA2 CCA3 CCA4 C...

...e 2013 23:14, Argel Gastélum Arellánez < argel.gastelum@gmail.com<mailto:argel.gastelum@gmail.com>> escribió: Hola compañeros de la lista. Qué tal. Tengo un análisis de componentes principales, en el que se evalúan aproximadamente 1000 variables. Usando la función dudi.pca e inertia.dudi obtengo una cantidad de información sobre la influencia de las variables sobre los dos componentes principales. Me gustaría saber si existe alguna función que sobre esta información me arrojara la lista de cuáles son las variables que más influyen sobre el resultado. Revisando la informac...

...show new MCONFIG files with copyright headers of 2008. I would expect newer copyright headers. git checkout mfleming git log Shows as most recent commit a hpa commit from april 2011. How to explain the unexpected output from `git diff` and `git log`? Cheers Geert Stappers -- stappers at inertia:/usr/src/syslinux $ git diff master mfleming | head diff --git a/MCONFIG b/MCONFIG new file mode 100644 index 0000000..a71fd13 --- /dev/null +++ b/MCONFIG @@ -0,0 +1,83 @@ +## -*- makefile -*- ------------------------------------------------------- +## +## Copyright 2008 H. Peter Anvin - All...

Hi all: How can I calculate the cumulative variance (or variance for each component) in correspondence analysis? If were possible in ADE4 package Thank you -- Antonio Punzón Merino O__---- Instituto Español de Oceanografía c/ /'_ --- Centro Oceanográfico de Santander (*) \(*) -- Promontorio de San Martín S/N ~~~~~~~~~~ 39004-Santander; Spain PO BOX: 240 Tlf: +34 942 29 10 60 Fax: +34

...stomize them Seconded. Personally, I recommend either ansible or bcfg2 over other tools. Puppet has a larger user base, but when I talk to users at conferences (such as LISA), ansible and bcfg2 users tend to like their tools, while an awful lot of people dislike Puppet but use it anyway due to inertia.

Hello to the R people, within ward clustering the distance calculated to decide the clustering of 2 subsets (h1 and h2) is the variation of inertia : d(h1,h2)=I(h1Uh2)-I(h1)-I(h2); i've been said that a way to calculate faster this d(h1,h2) is using the huygens theorem decomposing the inertia into "the inertia to the centroid + the distance to an axe" (that's my version ...). My problem is that i don't really see how to s...

Un saludo a todos. Estoy haciendo un ACC y utilizo el paquete Ade4. Cuando quiero realizar un plot del resultado utilizo plot(). el resultado son 6 gráficos: loadings, correlation, inertia axes, scores and predictions, eigenvalues y species. Lo que quería saber es cómo representar en una sola ventana (los 6 gráficos a parecen en la misma) el gráfico correspondiente a Species. Gracias por vuestra ayuda. Jesús Armand Calejero Román

I just came to the conclusion that the rid backend has been very much underappreciated. Too much mental inertia about how things used to be made? After strugling for two days to configure a member server against a Samba Active Directory with the ad/RFC2307 backend, I turned to the rid backend and voil?! all my problems are gone. Having to manually edit uids/gids in UNIX Attributes under RSAT does really su...

...drops the forced direction locking for scroll buildup during wheel emulation since it made it almost impossible to actually scroll in both directions. Since horizontal scrolling is disabled by default anyway, we don't need this lock. Peter Hutterer (5): man: add a warning that wheel emu inertia must be set and it isn't inertia Restore wheel emulation for absolute devices Don't reset the other axis on wheel emulation scroll buildup Prevent buffer overrun accessing btn_labels evdev 2.10.2 git tag: xf86-input-evdev-2.10.2 http://xorg.freedesktop.org/archive/...

...nmTRE_25_2_CS25 + pcnmTRE_25_5_CS25 + mydata$TreeCov + mydata$Hab_Config + pcnmEYR_EO_100_CS25 + pcnmEYR_EO_5000_CS25 + pcnmEYR_TH_10_CS25 + pcnmEYR_TH_2_CS25 + mydata$Site_No + mydata$Landscape + Condition(pcnmCS_NULL + mydata$LAT.x + mydata$LONG.x), na.action = "na.omit") Inertia Proportion Rank Total 1.8110 1.0000 Conditional 0.8681 0.4793 32 Constrained 0.0000 0.0000 0 Unconstrained 0.9429 0.5207 29 Inertia is variance Some constraints were aliased because they were collinear (redundant) Eigenvalues for unconstrained axes:...

...ot;axis" doesn't seem to be helping. capscale seems to be fine, I receive output for more than one constrained axis. What am I doing wrong? capscale.Nrem.results<-capscale(as.dist(qiime.data$distmat)~ N+rem+N*rem+Condition(dateFac), factor.frame) capscale.Nrem.results Inertia Proportion Rank Total 1.454538 Real Total 1.459802 1.000000 Conditional 0.117117 0.080228 1 Constrained 0.386228 0.264576 3 Unconstrained 0.956457 0.655197 22 Imaginary -0.005264 2 Inertia is squared Unknown distance Eigenvalues for constrained...

...uot;, > sheetName="env", header = T, row.names = 1) strain.cca <- > cca(strain.data ~ Ph+TotalN+Organicmatter+Ca+K+Na+P+Cu+Mn, > data=env.data) strain.cca Call: cca(formula = strain.data ~ Ph + TotalN + Organicmatter + Ca + K + Na + P + Cu + Mn, data = env.data) Inertia Proportion Rank Total 5 1 Constrained 5 1 5 Unconstrained 0 0 0 Inertia is mean squared contingency coefficient Some constraints were aliased because they were collinear (redundant) Eigenvalues for constrained axes: CCA1 CCA2 CCA3 CCA4 C...

This is a general statistics question so I'm sorry if its outside the field of r help. Anyway, I have a suite of female and male traits and I have made a matrix of correlation coefficients using rcorr(). This results in a 6 by 6 matrix like this.. [1] 0.11287990 0.20441361 0.23837442 0.04713234 0.04331637 0.01461611 [7] 0.22627981 0.11720108 0.14252307 0.19531625 0.29989953 0.09989502