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| -rw-r--r-- | R/mkinds.R | 65 | ||||
| -rw-r--r-- | R/plot.mkinfit.R | 2 | 
2 files changed, 67 insertions, 0 deletions
| diff --git a/R/mkinds.R b/R/mkinds.R new file mode 100644 index 00000000..17d40875 --- /dev/null +++ b/R/mkinds.R @@ -0,0 +1,65 @@ +# Copyright (C) 2015 Johannes Ranke +# Contact: jranke@uni-bremen.de + +# This file is part of the R package mkin + +# mkin is free software: you can redistribute it and/or modify it under the +# terms of the GNU General Public License as published by the Free Software +# Foundation, either version 3 of the License, or (at your option) any later +# version. + +# This program is distributed in the hope that it will be useful, but WITHOUT +# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS +# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more +# details. + +# You should have received a copy of the GNU General Public License along with +# this program. If not, see <http://www.gnu.org/licenses/> + +#' A dataset class for mkin +#' +#' @docType class +#' @importFrom R6 R6Class +#' @export +#' @format An \code{\link{R6Class}} generator object. +#' @field title A full title for the dataset +#' @field sampling times The sampling times +#' @field time_unit The time unit +#' @field observed Names of the observed compounds +#' @field unit The unit of the observations +#' @field replicates The number of replicates +#' @field data A dataframe with at least the columns name, time and value +#'   in order to be compatible with mkinfit +#' @examples inst/examples/mkinds.R +mkinds <- R6Class("mkinds",  +  public = list( +    title = NULL, +    sampling_times = NULL, +    time_unit = NULL, +    observed = NULL, +    unit = NULL, +    replicates = NULL, +    data = NULL, + +    initialize = function(title = "", data, time_unit = NA, unit = NA) { + +      self$title = title +      self$sampling_times = unique(data$time) +      self$time_unit = time_unit +      self$observed = unique(data$name) +      self$unit = unit +      self$replicates = max(by(data, list(data$name, data$time), nrow)) +      self$data = data +    } +  ) +) + +#' @export +print.mkinds <- function(x, ...) { +  cat("<mkinds> with $title: ",  x$title, "\n") +  cat("Observed compounds $observed: ", paste(x$observed, collapse = ", "), "\n") +  cat("Sampling times $sampling_times: ", paste(x$sampling_times, collapse = ", "), "\n") +  cat("With a maximum of ", x$replicates, " replicates\n") +  if (!is.na(x$time_unit)) cat("Time units: ", x$time_units, "\n") +  if (!is.na(x$unit)) cat("Observation units: ", x$units, "\n") +} diff --git a/R/plot.mkinfit.R b/R/plot.mkinfit.R index f8ee600e..6ca7e531 100644 --- a/R/plot.mkinfit.R +++ b/R/plot.mkinfit.R @@ -77,8 +77,10 @@ plot.mkinfit <- function(x, fit = x,    matlines(out$time, out[obs_vars], col = col_obs[obs_vars], lty = lty_obs[obs_vars])    if (legend == TRUE) {      legend_names = lapply(names(fit$mkinmod$spec), function(x) { +                          if (!is.null(fit$mkinmod$spec[[x]]$full_name))                              if (is.na(fit$mkinmod$spec[[x]]$full_name)) x                              else fit$mkinmod$spec[[x]]$full_name +                          else x        })      legend(lpos, inset= inset, legend = legend_names,        col = col_obs[obs_vars], pch = pch_obs[obs_vars], lty = lty_obs[obs_vars]) | 
