R-SIG-ecology October 2014

Binomial GLM: Is it the right way?

1 msg Oct 31

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Ludovico Frate Binomial GLM: Is it the right way? Oct 31, 2014

R-sig-ecology Digest, Vol 79, Issue 21

1 msg Oct 30

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Ludovico Frate R-sig-ecology Digest, Vol 79, Issue 21 Oct 30, 2014

species richness, GLM and negative values

1 msg Oct 30

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Kay Cichini species richness, GLM and negative values Oct 30, 2014

plyr and mvabund, conceptual issue

10 msgs Oct 29

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Maas, Kendra plyr and mvabund, conceptual issue Oct 28, 2014

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Maas, Kendra plyr and mvabund, conceptual issue Oct 28, 2014

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Eduard Szöcs plyr and mvabund, conceptual issue Oct 29, 2014

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Eduard Szöcs plyr and mvabund, conceptual issue Oct 29, 2014

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Hadley Wickham plyr and mvabund, conceptual issue Oct 29, 2014

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Hadley Wickham plyr and mvabund, conceptual issue Oct 29, 2014

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Paolo Piras draw 95% confidence limits for non significant regression lines Oct 29, 2014

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Maas, Kendra plyr and mvabund, conceptual issue Oct 29, 2014

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Krzysztof Sakrejda plyr and mvabund, conceptual issue Oct 29, 2014

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Maas, Kendra plyr and mvabund, conceptual issue Oct 29, 2014

species richness, GLM and negative values

3 msgs Oct 29

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Ludovico Frate species richness, GLM and negative values Oct 29, 2014

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Martin Weiser species richness, GLM and negative values Oct 29, 2014

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Bob OHara species richness, GLM and negative values Oct 29, 2014

null model selection in functional diversity analysis

3 msgs Oct 27

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Marc Taylor null model selection in functional diversity analysis Oct 23, 2014

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Botta-Dukát Zoltán null model selection in functional diversity analysis Oct 23, 2014

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Marc Taylor null model selection in functional diversity analysis Oct 27, 2014

Question about poisson GLM

3 msgs Oct 27

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rosanna di maggio Question about poisson GLM Oct 27, 2014

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Bob OHara Question about poisson GLM Oct 27, 2014

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Rob Robinson Question about poisson GLM Oct 27, 2014

Logistic regression with 2 categorical predictors

7 msgs Oct 26

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ONKELINX, Thierry Logistic regression with 2 categorical predictors Oct 21, 2014

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Andrew Halford Logistic regression with 2 categorical predictors Oct 21, 2014

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Gavin Simpson Logistic regression with 2 categorical predictors Oct 23, 2014

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Andrew Halford Logistic regression with 2 categorical predictors Oct 24, 2014

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Jari Oksanen Logistic regression with 2 categorical predictors Oct 24, 2014

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Gavin Simpson Logistic regression with 2 categorical predictors Oct 24, 2014

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Andrew Halford Logistic regression with 2 categorical predictors Oct 26, 2014

From: Angie Larsen

1 msg Oct 24

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Angie Larsen From: Angie Larsen Oct 24, 2014

Logistic regression with 2 categorical predictors

1 msg Oct 24

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Dixon, Philip M [STAT] Logistic regression with 2 categorical predictors Oct 24, 2014

Regression with few observations per factor level

1 msg Oct 24

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Jari Oksanen Regression with few observations per factor level Oct 24, 2014

mvabund-interprating the uni.test

3 msgs Oct 23

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David Warton mvabund-interprating the uni.test Oct 23, 2014

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Maas, Kendra mvabund-interprating the uni.test Oct 23, 2014

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David Warton mvabund-interprating the uni.test Oct 23, 2014

Regression with few observations per factor level

7 msgs Oct 23

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V. Coudrain Regression with few observations per factor level Oct 21, 2014

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Lars Westerberg Regression with few observations per factor level Oct 22, 2014

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Chris Howden Regression with few observations per factor level Oct 22, 2014

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Nicholas Hamilton Regression with few observations per factor level Oct 22, 2014

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Gavin Simpson Regression with few observations per factor level Oct 23, 2014

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Jari Oksanen Regression with few observations per factor level Oct 23, 2014

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Gavin Simpson Regression with few observations per factor level Oct 23, 2014

variance partitioning: vegan

2 msgs Oct 23

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Martin Weiser variance partitioning: vegan Oct 23, 2014

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Jari Oksanen variance partitioning: vegan Oct 23, 2014

mvabund-interprating the uni.test

1 msg Oct 22

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Maas, Kendra mvabund-interprating the uni.test Oct 22, 2014

Regression with few observations per factor level

1 msg Oct 22

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V. Coudrain Regression with few observations per factor level Oct 22, 2014

predict NMS scores for new samples

4 msgs Oct 21

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Jonathan Coop predict NMS scores for new samples Oct 10, 2014

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Dave Roberts predict NMS scores for new samples Oct 12, 2014

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Jari Oksanen predict NMS scores for new samples Oct 12, 2014

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Jonathan Coop predict NMS scores for new samples Oct 21, 2014

Regression with few observations per factor level

3 msgs Oct 21

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V. Coudrain Regression with few observations per factor level Oct 20, 2014

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Baldwin, Jim -FS Regression with few observations per factor level Oct 20, 2014

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Krzysztof Sakrejda Regression with few observations per factor level Oct 21, 2014

Regression with few observations per factor level

6 msgs Oct 20

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V. Coudrain Regression with few observations per factor level Oct 20, 2014

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Roman Luštrik Regression with few observations per factor level Oct 20, 2014

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V. Coudrain Regression with few observations per factor level Oct 20, 2014

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Martin Weiser Regression with few observations per factor level Oct 20, 2014

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stephen sefick Regression with few observations per factor level Oct 20, 2014

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V. Coudrain Regression with few observations per factor level Oct 20, 2014

Logistic regression with 2 categorical predictors

2 msgs Oct 20

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Andrew Halford Logistic regression with 2 categorical predictors Oct 20, 2014

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ONKELINX, Thierry Logistic regression with 2 categorical predictors Oct 20, 2014

EstimateR and Chao 1 standard deviation

1 msg Oct 17

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"José M. Blanco Moreno" EstimateR and Chao 1 standard deviation Oct 17, 2014

EstimateR and Chao 1 standard deviation

5 msgs Oct 17

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"José M. Blanco Moreno" EstimateR and Chao 1 standard deviation Oct 17, 2014

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Bob OHara EstimateR and Chao 1 standard deviation Oct 17, 2014

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Gavin Simpson EstimateR and Chao 1 standard deviation Oct 17, 2014

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Bob OHara EstimateR and Chao 1 standard deviation Oct 17, 2014

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Gavin Simpson EstimateR and Chao 1 standard deviation Oct 17, 2014

Question about GEE and interaction plot

2 msgs Oct 17

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Luis Fernando García Question about GEE and interaction plot Oct 17, 2014

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ONKELINX, Thierry Question about GEE and interaction plot Oct 17, 2014

SIMPER problem: invalid 'nrow' value (too large or NA)

3 msgs Oct 15

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mastratton SIMPER problem: invalid 'nrow' value (too large or NA) Oct 14, 2014

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Jari Oksanen SIMPER problem: invalid 'nrow' value (too large or NA) Oct 15, 2014

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Gavin Simpson SIMPER problem: invalid 'nrow' value (too large or NA) Oct 15, 2014

Package 'compositions': Interpreting dist() output

3 msgs Oct 14

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Rich Shepard Package 'compositions': Interpreting dist() output Oct 13, 2014

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Rich Shepard Package 'compositions': Interpreting dist() output Oct 13, 2014

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separent at yahoo.com Package 'compositions': Interpreting dist() output Oct 14, 2014

AdehabitatHR: LoCoH.k() issue

1 msg Oct 13

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Nicola Rossi AdehabitatHR: LoCoH.k() issue Oct 13, 2014

[vegan]Error in as.vector(x, mode) : , cannot coerce type 'builtin' to vector of type 'any' when perfroming a cca on a dataframe

2 msgs Oct 13

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Tim Richter-Heitmann Error in as.vector(x, mode) : , cannot coerce type 'builtin' to vector of type 'any' when perfroming a cca on a dataframe Oct 13, 2014

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Jari Oksanen Error in as.vector(x, mode) : , cannot coerce type 'builtin' to vector of type 'any' when perfroming a cca on a dataframe Oct 13, 2014

CoDA: Clustering Multiple Data Sets

3 msgs Oct 10

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Rich Shepard CoDA: Clustering Multiple Data Sets Oct 9, 2014

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separent at yahoo.com CoDA: Clustering Multiple Data Sets Oct 10, 2014

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Rich Shepard CoDA: Clustering Multiple Data Sets Oct 10, 2014

A beginner's question to constrained ordinations with vegan

2 msgs Oct 9

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Tim Richter-Heitmann A beginner's question to constrained ordinations with vegan Oct 9, 2014

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stephen sefick A beginner's question to constrained ordinations with vegan Oct 9, 2014

Fitting hydrological distributions: bring pkg FAmle back to life?

1 msg Oct 6

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Thomas Petzoldt Fitting hydrological distributions: bring pkg FAmle back to life? Oct 6, 2014