Last data update: 2014.03.03

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Results 1 - 5 of 5 found.
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soya (Package: mcglm) : Soybeans

Experiment carried out in a vegetation house with soybeans. The experiment has two plants by plot with three levels of the factor amount of water in the soil (water) and five levels of potassium fertilization (pot). The plots were arranged in five blocks (block). Three response variables are of the interest, namely, grain yield, number of seeds and number of viable peas per plant. The data set has 75 observations of 7 variables.
● Data Source: CranContrib
● Keywords: datasets
● Alias: soya
● 0 images

NewBorn (Package: mcglm) : Respiratory Physiotherapy on Premature Newborns.

The NewBorn dataset consists of a prospective study to assess the effect of respiratory physiotherapy on the cardiopulmonary function of ventilated preterm newborn infants with birth weight lower than 1500 g. The data set was collected and kindly made available by the nursing team of the Waldemar Monastier hospital, Campo Largo, PR, Brazil. The NewBorn dataset was analysed in Bonat and Jorgensen (2016) as an example of mixed outcomes regression model.
● Data Source: CranContrib
● Keywords: datasets
● Alias: NewBorn
● 0 images

soil (Package: mcglm) : Soil Chemistry Properties Data

Soil chemistry properties measured on a regular grid with 10 x 25 points spaced by 5 meters.
● Data Source: CranContrib
● Keywords: datasets
● Alias: soil
● 0 images

Hunting (Package: mcglm) : Hunting in Pico Basile, Bioko Island, Equatorial Guinea.

Case study analysed in Bonat et. al. (2016) concernings on data of animals hunted in the village of Basile Fang, Bioko Norte Province, Bioko Island, Equatorial Guinea. Monthly number of blue duikers and other small animals shot or snared was collected for a random sample of 52 commercial hunters from August 2010 to September 2013. For each animal caught, the species, sex, method of capture and altitude were documented. The data set has 1216 observations.
● Data Source: CranContrib
● Keywords: datasets
● Alias: Hunting
● 0 images

ahs (Package: mcglm) : Australian Health Survey

The Australian health survey was used by Bonat and Jorgensen (2016) as an example of multivariate count regression model. The data consists of five count response variables concerning health system access measures and nine covariates concerning social conditions in Australian for 1987-88.
● Data Source: CranContrib
● Keywords: datasets
● Alias: ahs
● 0 images