Add datasets

R/datasets.R

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+#-----------------------------------------------------------------------
+#' @title Artificial defoliation in cotton phenology
+#'
+#' @description Cotton production can be drastically reduced by attack
+#'   of defoliating insects. Depending on the growth stage, the plants
+#'   can recover from the caused damage and keep production not affected
+#'   or can have the production reduced by low intensity defoliation. In
+#'   order to study the recovery of cotton plants (\emph{Gossypium
+#'   hirsutum}) in terms of production, Silva (2012) conducted a
+#'   greenhouse experiment under a completely randomized design with
+#'   five replicates. The experimental unity was a pot with two plants
+#'   and it was recorded the number of cotton bolls at five artificial
+#'   defoliation levels (0\%, 25\%, 50\%, 75\%, and 100\%) and five
+#'   growth stages: vegetative, flower-bud, blossom, fig and cotton
+#'   boll.
+#'
+#' @format A \code{\link[tibble]{tibble}} with 125 observations and 4
+#'   colums:
+#'
+#' \itemize{
+#' \item \code{stage}: A factor with the (phenological) growth stages;
+#' \item \code{defol}: Numerical with the defoliation levels (percent in
+#'   leaf area removed with scissors);
+#' \item \code{rept}: Indexes of repetition;
+#' \item \code{bolls}: Number of bolls produced at harvest of cotton.
+#'
+#' }
+#'
+#' @usage data(cotton, package = "cmpreg")
+#' @references Silva, A. M., Degrande, P. E., Suekane, R., Fernandes,
+#'   M. G., Zeviani, W. M. (2012). Impacto de diferentes niveis de
+#'   desfolha artificial nos estagios fenologicos do
+#'   algodoeiro. \strong{Revista de Ciencias Agrarias}, 35(1), 163–172.
+#'
+"cotton"
+
+#-----------------------------------------------------------------------
+#' @title Soil moisture and potassium doses on soybean culture
+#'
+#' @description A study of potassium doses and soil moisture levels on
+#'   soybean (\emph{Glicine Max}) production. The tropical soils are
+#'   usually poor in potassium (K) and demand potassium fertilization
+#'   when cultivated with soybean to obtain satisfactory yields. Soybean
+#'   production is affected by long exposition to water deficit. As
+#'   potassium is a nutrient involved in the water balance in plant, by
+#'   hyphotesis, a good supply of potassium avoids to reduce
+#'   production. To evaluate the effects of potassium doses and soil
+#'   humidity levels on soybean production, Serafim (2012) conducted a
+#'   \eqn{5\times 3} factorial experiment in a randomized complete
+#'   block design with 5 replicates. Five different potassium doses (0,
+#'   30, 60, 120 and 180 \eqn{\times} mg dm\eqn{^{-3}}) were applied to
+#'   the soil and soil moisture levels were controlled at (37.5, 50, and
+#'   62.5\%). The experiment was carried out in a greenhouse and the
+#'   experimental units were pots with two plants in each.
+#'
+#' @format A \code{\link[tibble]{tibble}} with 74 observations and 6
+#'   colums:
+#'
+#' \itemize{
+#'
+#' \item \code{K}: Integer value indicated the potassium fertilization
+#'   dose (in mg dm\eqn{^{-3}});
+#' \item \code{water}: Numerical value of amount of water in the soil
+#'   (soil moisture in percent);
+#' \item \code{block}: Fatcor indicating block;
+#' \item \code{seeds}: Number of bean seeds at pot;
+#' \item \code{vpods}: Number of viable pods at pot;
+#' \item \code{tpods}: Total of pods at pot.
+#'
+#' }
+#'
+#' @usage data(soybean, package = "cmpreg")
+#' @references Serafim, M. E., F. B. Ono, W. M. Zeviani, J. O. Novelino,
+#'   and J. V. Silva (2012). Umidade do solo e doses de potassio na
+#'   cultura da soja. \strong{Revista Ciencia Agronomica}, 43(2),
+#'   222-227.
+#'
+"soybean"
+
+#-----------------------------------------------------------------------
+#' @title Toxicity of nitrofen in aquatic systems
+#'
+#' @description Nitrofen is no longer in commercial use in the United
+#'   States, having been the first pesticide to be withdrawn due to
+#'   tetragenic effects (Bailer, 1994). This data set comes from an
+#'   experiment to measure the reproductive toxicity of the herbicide,
+#'   nitrofen, on a species of zooplankton (\emph{Ceriodaphnia
+#'   dubia}). Fifty animals were randomized into batches of ten and each
+#'   batch was put in a solution with a measured concentration of
+#'   nitrofen (0, .8, 1.6, 2.35 and 3.10
+#'   \eqn{\mu}g/100litre. Subsequently, the number of live offspring was
+#'   recorded.
+#'
+#' @format A \code{\link[tibble]{tibble}} with 50 observations and 2
+#'   colums:
+#'
+#' \itemize{
+#'
+#' \item \code{dose}: Numeric value of the nitrofen concentration level
+#'   (in \eqn{\mu}g/ 100 litre);
+#' \item \code{noffs}: Number of live offspring.
+#'
+#' }
+#'
+#' @usage data(nitrofen, package = "cmpreg")
+#' @references Bailer, A. and J. Oris (1994). Assessing toxicity of
+#'   pollutant in aquatic systems. \strong{In Case Studies in Biometry},
+#'   25-40.
+#'
+"nitrofen"
+
+#-----------------------------------------------------------------------
+#' @title Annona mucosa for control of Sitophilus zeamaus
+#'
+#' @description New control methods are necessary for stored grain pest
+#'   management programs due to both the widespread problems of
+#'   insecticide-resistance populations and the increasing concerns of
+#'   consumers regarding pesticide residues in food products. Ribeiro
+#'   (2013) carried out an experiment to assess the bioactivity of
+#'   extracts of \emph{Annona mucosa} (Annonaceae) for control
+#'   \emph{Sitophilus zeamaus} (Coleoptera: Curculionidae), a major pest
+#'   of stored maize in Brazil. Petri dishes containing 10g of corn were
+#'   treated with extracts prepared with different parts of \emph{Annona
+#'   mucosa} (seeds, leaves and branches) or just water (control) were
+#'   completely randomized with 10 replicates. Then 20 animals adults
+#'   were placed in each Petri dish and the numbers of emerged insects
+#'   (progeny) after 60 days were recorded.
+#'
+#' @format A \code{\link[tibble]{tibble}} with 40 observations and 2
+#'   colums:
+#'
+#' \itemize{
+#'
+#' \item \code{extract}: Factor indicating the extrated used in the
+#'   solution;
+#' \item \code{ninsect}: Number of emerged insects.
+#'
+#' }
+#'
+#' @usage data(sitophilus, package = "cmpreg")
+#' @references Ribeiro, L. P., J. D. Vendramim, K. U. Bicalho,
+#'   M. S. Andrade, J. B. Fernandes, R. A. Moral, and C. G. B. Demetrio
+#'   (2013). Annona mucosa Jacq. (Annonaceae): A promising source of
+#'   bioactive compounds against Sitophilus zeamais Mots. (Coleoptera:
+#'   Curculionidae). \strong{Journal of Stored Products Research}, 55,
+#'   6-14.
+#'
+"sitophilus"
+
+#-----------------------------------------------------------------------
+#' @title Alternative substrats for bromeliad production
+#'
+#' @description This dataset comes from a randomized experiment
+#'   conducted in a greenhouse in four blocks design with objective of
+#'   evaluate five different recipients of alternative substrates for
+#'   bromeliads (Kanashiro, 2008). All treatments contained peat and
+#'   perlite and differed in the third component: Pinus bark, Eucalyptus
+#'   bark, Coxim, coconut fiber and Xaxim. The response variable was the
+#'   number of leaves per experimental unit (pot with initially eight
+#'   plants), which was registered at 4, 173, 229, 285, 341, and 435
+#'   days after planting.
+#'
+#' @format A \code{\link[tibble]{tibble}} with 120 observations and 4
+#'   colums:
+#'
+#' \itemize{
+#'
+#' \item \code{treat}: Factor indicating the alternative substrates;
+#' \item \code{time}: Days after planting;
+#' \item \code{block}: Factor indicating block;
+#' \item \code{nleaves}: The median number of leaves.
+#'
+#' }
+#'
+#' @usage data(bromelia, package = "cmpreg")
+#'
+"bromelia"

data-raw/bromelia.txt

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+treat	time	block	nleaves
+Pinus bark	4	I	6
+Pinus bark	4	II	6
+Pinus bark	4	III	6
+Pinus bark	4	IV	7
+Eucalyptus bark	4	I	7
+Eucalyptus bark	4	II	6
+Eucalyptus bark	4	III	6
+Eucalyptus bark	4	IV	7
+Coxim	4	I	6
+Coxim	4	II	6
+Coxim	4	III	6
+Coxim	4	IV	7
+Coconut fiber	4	I	6
+Coconut fiber	4	II	6
+Coconut fiber	4	III	6
+Coconut fiber	4	IV	7
+Xaxim	4	I	7
+Xaxim	4	II	6
+Xaxim	4	III	7
+Xaxim	4	IV	7
+Pinus bark	173	I	9
+Pinus bark	173	II	9
+Pinus bark	173	III	9
+Pinus bark	173	IV	9
+Eucalyptus bark	173	I	8
+Eucalyptus bark	173	II	7
+Eucalyptus bark	173	III	7
+Eucalyptus bark	173	IV	7
+Coxim	173	I	8
+Coxim	173	II	8
+Coxim	173	III	8
+Coxim	173	IV	8
+Coconut fiber	173	I	8
+Coconut fiber	173	II	8
+Coconut fiber	173	III	8
+Coconut fiber	173	IV	9
+Xaxim	173	I	10
+Xaxim	173	II	10
+Xaxim	173	III	9
+Xaxim	173	IV	9
+Pinus bark	229	I	11
+Pinus bark	229	II	12
+Pinus bark	229	III	11
+Pinus bark	229	IV	12
+Eucalyptus bark	229	I	11
+Eucalyptus bark	229	II	10
+Eucalyptus bark	229	III	10
+Eucalyptus bark	229	IV	11
+Coxim	229	I	11
+Coxim	229	II	11
+Coxim	229	III	10
+Coxim	229	IV	12
+Coconut fiber	229	I	10
+Coconut fiber	229	II	10
+Coconut fiber	229	III	10
+Coconut fiber	229	IV	11
+Xaxim	229	I	13
+Xaxim	229	II	13
+Xaxim	229	III	12
+Xaxim	229	IV	12
+Pinus bark	285	I	14
+Pinus bark	285	II	14
+Pinus bark	285	III	13
+Pinus bark	285	IV	15
+Eucalyptus bark	285	I	12
+Eucalyptus bark	285	II	13
+Eucalyptus bark	285	III	12
+Eucalyptus bark	285	IV	13
+Coxim	285	I	13
+Coxim	285	II	13
+Coxim	285	III	13
+Coxim	285	IV	14
+Coconut fiber	285	I	13
+Coconut fiber	285	II	13
+Coconut fiber	285	III	12
+Coconut fiber	285	IV	13
+Xaxim	285	I	14
+Xaxim	285	II	14
+Xaxim	285	III	14
+Xaxim	285	IV	14
+Pinus bark	341	I	16
+Pinus bark	341	II	17
+Pinus bark	341	III	16
+Pinus bark	341	IV	17
+Eucalyptus bark	341	I	15
+Eucalyptus bark	341	II	14
+Eucalyptus bark	341	III	14
+Eucalyptus bark	341	IV	15
+Coxim	341	I	14
+Coxim	341	II	15
+Coxim	341	III	15
+Coxim	341	IV	16
+Coconut fiber	341	I	14
+Coconut fiber	341	II	16
+Coconut fiber	341	III	14
+Coconut fiber	341	IV	15
+Xaxim	341	I	15
+Xaxim	341	II	17
+Xaxim	341	III	15
+Xaxim	341	IV	16
+Pinus bark	435	I	18
+Pinus bark	435	II	18
+Pinus bark	435	III	16
+Pinus bark	435	IV	18
+Eucalyptus bark	435	I	15
+Eucalyptus bark	435	II	15
+Eucalyptus bark	435	III	15
+Eucalyptus bark	435	IV	16
+Coxim	435	I	15
+Coxim	435	II	16
+Coxim	435	III	16
+Coxim	435	IV	17
+Coconut fiber	435	I	16
+Coconut fiber	435	II	16
+Coconut fiber	435	III	15
+Coconut fiber	435	IV	16
+Xaxim	435	I	16
+Xaxim	435	II	17
+Xaxim	435	III	16
+Xaxim	435	IV	17