Ladybird.dat

Welham et al. (2015, Example 8.2) describe a three-factor factorial experiment to investigate whether ladybirds transfer fungus to live aphids on plants. The three factors are Host plant (beans, trefoil), infected Cadavers (5, 10, 20), and Ladybird (-, +). A generalized randomized complete-block design is used to assign the three factors to 2 Runs, each of which involves 36 containers with a plant and live aphids. The response to be analyzed is the logit of the proportion of live aphids that were infected.
The columns in the data frame are: ID, Run, Plant, Host, Ladybird, Cadavers, Live, Infected, logitP, Prop. The column ID numbers the observations. 
Live, Infected, logitP, Prop are response variables.

datasets

Assists in automating the selection of terms to include in mixed models when
'asreml' is used to fit the models. Procedures are available for choosing models that
conform to the hierarchy or marginality principle, for fitting and choosing between
two-dimensional spatial models using correlation, natural cubic smoothing spline and
P-spline models. A history of the fitting of a sequence of models is kept in a data frame.
Also used to compute functions and contrasts of, to investigate differences between and
to plot predictions obtained using any model fitting function. The content falls into
the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model
selection and description functions, (iv) Model diagnostics and simulation functions,
(v) Prediction production and presentation functions, (vi) Response transformation
functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions
(for further details see 'asremlPlus-package' in help). The 'asreml' package provides a
computationally efficient algorithm for fitting a wide range of linear mixed models using
Residual Maximum Likelihood. It is a commercial package and a license for it can be
purchased from 'VSNi' <https://vsni.co.uk/> as 'asreml-R', who will supply a zip file
for local installation/updating (see <https://asreml.kb.vsni.co.uk/>). It is not needed
for functions that are methods for 'alldiffs' and 'data.frame' objects. The package
'asremPlus' can also be installed from <http://chris.brien.name/rpackages/>.

Chris Brien

asremlPlus

Augments 'ASReml-R' in Fitting Mixed Models and Packages
Generally in Exploring Prediction Differences

Ladybird.dat function

A data.frame containing 72 observations of 10 variables.

Ladybird.dat: Data for an experiment to investigate whether ladybirds transfer aphids

Description

Usage

Arguments

Format

Author