search for: keough

...r: ---------------------------------- Error in recover_data.call(fcall, delete.response(terms(object)), object$na.action, : object 'possibly.random' not found Error in ref_grid(object, ...) : Perhaps a 'data' or 'params' argument is needed Data-set-2: --------------- Keough and Raimondi (1995) examined the effects of four biofilm types (SL: sterile unfilmed substrate, NL: netted laboratory biofilms, UL: unnetted laboratory biofilms and F: netted field biofilms) on the recruitment of serpulid larvae. Substrates treated with one of the four biofilm types were left in sh...

...er_data.call(fcall, delete.response(terms(object)), > object$na.action, : > object 'possibly.random' not found > Error in ref_grid(object, ...) : > Perhaps a 'data' or 'params' argument is needed > > > > Data-set-2: > --------------- > Keough and Raimondi (1995) examined the effects of four biofilm types (SL: > sterile unfilmed substrate, NL: netted laboratory biofilms, UL: unnetted > laboratory biofilms and F: netted field biofilms) on the recruitment of > serpulid larvae. Substrates treated with one of the four biofilm types...

...on, but instead use the data= option in the aov function. That is, medley2 = aov(diversity ~ zinc, data=medley.clementis) emmeans::emmeans(medley2, "zinc") You can see the difference in the calls: medley2$call medley.clementis.aov$call This works for the other data set as well, e.g. keough2 = aov(serpulid.ln ~ biofilm, data=keough.raimondi.ln) ~ Sal Mangiafico On 1/8/2018 4:44 PM, Rolf Turner wrote: On 07/01/18 02:19, Akhilesh Singh wrote: I am a Professor of Statistics at Indira Gandhi Krishi Vishwavidyalaya, Raipur, India. While teaching in class about analysis of variance usi...

...tial scale in my design (random factors, variance components), and say something about the variability between regions (fixed factor, contrast of means). The data is as follows; region (fixed) Location (random) Site(random) site nested in location nested in region. Also i have read in Quinn and Keough 2002, design and analysis of experiments for biologists, that a variance component analysis should only be conducted after a rejection of the null hypothesis of no variance at that level. I have tried to implement mod1<-lmer(density ~ 1 + (1|site) + (1|location) + (1|region)) However, as i und...

...5 variables (4 predictors, 1 criterion) based on only 18 observations, admittedly a small sample size and perhaps an overly ambitious approach to analyzing so few data. Last, I'm convinced that I'm using the code correctly as I was able to successfully reproduce an example in Quinn and Keough (2002) before I turned the code onto my own data. Looking forward to any thoughts or comments. Cheers, Mike -- Michael D. Rennie Ph.D. Candidate University of Toronto at Mississauga 3359 Missisagua Rd. N. Mississauga, ON L5L 1C6 Ph: 905-828-5452 Fax: 905-828-3792 www.utm.utoronto.ca/~w3renni...

...+ Diversity/Phyto + Zoop*Diversity/Phyto) where, *Mean.richness* is a covariate*, Zoop* is a categorical variable (the species), *Diversity* is a categorical variable (Low or High), and *Phyto*(community composition) is also categorical but is nested within the level of *Diversity*. Quinn & Keough's statistics text recommends using Type III SS for a nested ANOVA with a covariate. I get the following output using the Type I SS ANOVA: Analysis of Variance Table Response: C.Mean Df Sum Sq Mean Sq F value...

Greetings! I have one quick question: How do you do a Tukey test on an ANCOVA? Thanks for any tips! -Paul

...ermine importance of various effects of these ? effects... and used vegan's cca in the following context: 1. I read in the count data 2. transformed the counts using a 4th root transformation into count.dbf2 ? based on a suggestion from a colleague and following up in ?Quinn, G. P., and M. J. Keough. 2002. Experimental design and data analysis for biologists, 1st edition?. 3. I then used the following two commands to generate an ANOVA table: > out.cca2 = cca(count.df2 ~ Flood*(Fence+Fire+age)+topo, predictor.df) > anova(out.cca2, by="term", step=2000) 4. Since the order in wh...

...sity + Zoop + Diversity/Phyto + Zoop*Diversity/Phyto) where, Mean.richness is a covariate, Zoop is a categorical variable (the species), Diversity is a categorical variable (Low or High), and Phyto (community composition) is also categorical but is nested within the level of Diversity. Quinn & Keough's statistics text recommends using Type III SS for a nested ANOVA with a covariate. I get the following output using the Type I SS ANOVA: Analysis of Variance Table Response: C.Mean Df Sum Sq Mean Sq F value Pr(>F) Mean.richness 1 56385326...

...tes article (May 2005, vol. 5/1) also lmer as follows: >oil.lme<-lme(density~year*oiled, random=~1|oiled/transect) or >harvest.lmer<-lmer(abund~H*BA+BA/year+BA/year:H+site:BA+(1|H/site)) but again no luck. I will get always some error messages or some interactions missing. Paper 2 (Keough & Quinn, 2000. Legislative vs. practical protection of an intertidal shoreline in southeastern Australia. Ecol. Appl. 10: 871-881) Data were collected from 1989, 1990, 1991, 1993, 1994, 1995, 1996, 1997). the 1989-1991 are the before impact years and the other 4 years are the after the impa...