Learn R Programming

AMModels (version 0.1.4)

lsModels: List Names Of amModel Or amData Objects In An amModelLib Object.

Description

List names of all objects of class amModel (a fitted model with mandatory metadata) or amData (a dataset with mandatory metadata) in an amModelLib object.

Usage

lsModels(x)

lsData(x)

Arguments

x

An object of class amModelLib.

Value

A vector of names.

See Also

Other amModelLib: AMModels, amData, amModelLib, amModel, getters, grepAMModelLib, insertAMModelLib, rmModel

Examples

Run this code
# NOT RUN {
# create dataset from lm helpfile
## Annette Dobson (1990) "An Introduction to Generalized Linear Models".
## Page 9: Plant Weight Data.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)
lm.D90 <- lm(weight ~ group - 1) # omitting intercept

# create an amData object that includes metadata
plant.data <- data.frame(group = group, weight = weight)
plant.data <- amData(
    data = plant.data, 
    comment = 'Dataset from lm helpfile.'
)

# create a second amData object with log data
log.plant.data <- data.frame(group, log.weight=log(weight))
log.plant.data <- amData(
    data = log.plant.data, 
    comment = 'Dataset that includes the log of plant weight', 
    source = 'lm helpfile (R).'
)



# create two amModel objects with metadata and a soft link to the data
full.model <- amModel(
    model = lm.D9, 
    comment = 'full model', 
    source = 'lm helpfile (R).', 
    taxa = 'plants', 
    data = 'plant.data'
)

no.int.model <- amModel(
    model = lm.D90, 
    comment = 'model without intercept', 
    source = 'lm helpfile (R).', 
    taxa = 'plants', 
    data = 'plant.data'
)



# create an amModelLib that contains the two amModel objects and two amData objects
# the models and data must be supplied as named lists
mymodels <- amModelLib(
    models = list(
        full.model = full.model, 
        no.int.model = no.int.model
    ), 
    data = list(
        plant.data = plant.data, 
        log.plant.data = log.plant.data
    )
)


# list names of models
lsModels(mymodels)

# list names of data
lsData(mymodels)

# }

Run the code above in your browser using DataLab