R-SIG-ecology October 2014
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Friday, October 31, 2014 1 email
Thursday, October 30, 2014 2 emails
Wednesday, October 29, 2014 11 emails
Maas, Kendra
plyr and mvabund, conceptual issue
Bob OHara
species richness, GLM and negative values
Martin Weiser
species richness, GLM and negative values
Krzysztof Sakrejda
plyr and mvabund, conceptual issue
Maas, Kendra
plyr and mvabund, conceptual issue
Ludovico Frate
species richness, GLM and negative values
Paolo Piras
draw 95% confidence limits for non significant regression lines
Hadley Wickham
plyr and mvabund, conceptual issue
Hadley Wickham
plyr and mvabund, conceptual issue
Eduard Szöcs
plyr and mvabund, conceptual issue
Eduard Szöcs
plyr and mvabund, conceptual issue
Tuesday, October 28, 2014 2 emails
Monday, October 27, 2014 4 emails
Sunday, October 26, 2014 1 email
Friday, October 24, 2014 6 emails
Angie Larsen
From: Angie Larsen
Gavin Simpson
Logistic regression with 2 categorical predictors
Dixon, Philip M [STAT]
Logistic regression with 2 categorical predictors
Jari Oksanen
Logistic regression with 2 categorical predictors
Andrew Halford
Logistic regression with 2 categorical predictors
Jari Oksanen
Regression with few observations per factor level
Thursday, October 23, 2014 11 emails
David Warton
mvabund-interprating the uni.test
Maas, Kendra
mvabund-interprating the uni.test
David Warton
mvabund-interprating the uni.test
Gavin Simpson
Regression with few observations per factor level
Gavin Simpson
Logistic regression with 2 categorical predictors
Jari Oksanen
Regression with few observations per factor level
Botta-Dukát Zoltán
null model selection in functional diversity analysis
Gavin Simpson
Regression with few observations per factor level
Jari Oksanen
variance partitioning: vegan
Martin Weiser
variance partitioning: vegan
Marc Taylor
null model selection in functional diversity analysis
Wednesday, October 22, 2014 5 emails
Nicholas Hamilton
Regression with few observations per factor level
Chris Howden
Regression with few observations per factor level
Maas, Kendra
mvabund-interprating the uni.test
V. Coudrain
Regression with few observations per factor level
Lars Westerberg
Regression with few observations per factor level
Tuesday, October 21, 2014 5 emails
V. Coudrain
Regression with few observations per factor level
Jonathan Coop
predict NMS scores for new samples
Andrew Halford
Logistic regression with 2 categorical predictors
ONKELINX, Thierry
Logistic regression with 2 categorical predictors
Krzysztof Sakrejda
Regression with few observations per factor level
Monday, October 20, 2014 10 emails
Baldwin, Jim -FS
Regression with few observations per factor level
V. Coudrain
Regression with few observations per factor level
V. Coudrain
Regression with few observations per factor level
ONKELINX, Thierry
Logistic regression with 2 categorical predictors
stephen sefick
Regression with few observations per factor level
Andrew Halford
Logistic regression with 2 categorical predictors
Martin Weiser
Regression with few observations per factor level
V. Coudrain
Regression with few observations per factor level
Roman Luštrik
Regression with few observations per factor level
V. Coudrain
Regression with few observations per factor level
Friday, October 17, 2014 8 emails
"José M. Blanco Moreno"
EstimateR and Chao 1 standard deviation
Gavin Simpson
EstimateR and Chao 1 standard deviation
Bob OHara
EstimateR and Chao 1 standard deviation
Gavin Simpson
EstimateR and Chao 1 standard deviation
ONKELINX, Thierry
Question about GEE and interaction plot
Luis Fernando García
Question about GEE and interaction plot
Bob OHara
EstimateR and Chao 1 standard deviation
"José M. Blanco Moreno"
EstimateR and Chao 1 standard deviation
Wednesday, October 15, 2014 2 emails
Tuesday, October 14, 2014 2 emails
Monday, October 13, 2014 5 emails
Rich Shepard
Package 'compositions': Interpreting dist() output
Rich Shepard
Package 'compositions': Interpreting dist() output
Nicola Rossi
AdehabitatHR: LoCoH.k() issue
Jari Oksanen
Error in as.vector(x, mode) : , cannot coerce type 'builtin' to vector of type 'any' when perfroming a cca on a dataframe
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