nested ANOVA for grouping factors

[anvar sour]

Hi there,

I do appreciate if someone kindly help me that enables me to perform nested design ANOVA on my data.

I did linear regression (six models) between two variables (LnB and LnC) and also I added catgorial variables as a grouping factor (six group factors, site, vegetation type, Topography, soil texture, direction, disturbance) in each model, as following:

data <- read_excel("C:/Users/Anvar/Documents/multispecies.xlsx",sheet=1)

data$disturbance <- factor(data$disturbance)

data$site <- factor(data$site)

data$vegtype <- factor(data$vegtype)

data$Direction <- factor(data$Direction)

data$Texture <- factor(data$Texture)

data$Topo <- factor(data$Topo)

#####################  multispecies analysis, Models using only C

lm1 <- lm(LnB ~ LnC+ disturbance, data=data)

summary(lm1)

lm2 <- lm(LnB ~ LnC+ Direction, data=data)

summary(lm2)

lm3 <- lm(LnB ~ LnC+vegtype, data=data)

summary(lm3)

lm4 <- lm(LnB ~ LnC+ Topo, data=data)

summary(lm4)

lm5 <- lm(LnB ~ LnC+Texture, data=data)

summary(lm5)

lm6 <- lm(LnB ~ LnC+ site, data=data)

summary(lm6)

now I want to do nested analysis variance (ANOVA) for finding that how much of the relative residual variance (%) is explained by each group factor.

Thanks for the help in advance.

Best Regards,

Anvar,

[Mike Lawrence]

Sorry, ez was only designed to address factorial ANOVAs, and the heirarchical/nested scenario you have is outside this scope. Maybe look at the lme4 package?

--
Mike Lawrence
Graduate Student
Department of Psychology & Neuroscience
Dalhousie University

~ Certainty is (possibly) folly ~

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