Correct spelling

R/est.nca.R

@@ -8,7 +8,7 @@
 #' for a given individual using concentration vs. time data.
 #'
 #' \pkg{est.nca} estimates a comprehensive set of NCA metrics using the
-#' concentration-time profile of an individual. NCA metrics are eatimated
+#' concentration-time profile of an individual. NCA metrics are estimated
 #' according to traditional PK calculations. The names of the various NCA
 #' metrics estimated in this package are assigned mainly following the names
 #' used in WinNonlin. This package accepts any of the three different types of
@@ -26,7 +26,7 @@
 #'  between the dosing intervals is considered. Cmax_D is the dose normalized
 #'  maximum observed concentration.
 #'  \item \strong{Clast and Tlast} are the last measurable positive
-#'  comcentration and the corresponding time, respectively. 
+#'  concentration and the corresponding time, respectively. 
 #'  \item \strong{AUClast} is the area under the concentration vs. time curve
 #'  from the first observed to last measurable concentration.
 #'  \item \strong{AUMClast} is the first moment of the concentration vs. time
@@ -41,15 +41,15 @@
 #'  \item \strong{AUC_pBack_Ext_pred} is the percentage of AUCINF_pred that is 
 #'  contributed by the back extrapolation to estimate C0.
 #'  \item \strong{AUClower_upper} is the AUC under the concentration-time 
-#'  profile within the user-specified window of time privided as the 
+#'  profile within the user-specified window of time provided as the 
 #'  "AUCTimeRange" argument. In case of empty "AUCTimeRange" argument, 
 #'  AUClower_upper is the same as AUClast.
 #'  \item \strong{Rsq, Rsq_adjusted and Corr_XY} are regression coefficient 
 #'  of the regression line used to estimate the elimination rate constant, the 
 #'  adjusted value of Rsq and the square root of Rsq, respectively.
 #'  \item \strong{Lambda_z} is the elimination rate constant estimated from the 
 #'  regression line representing the terminal phase of the concentration-time 
-#'  prifile.
+#'  data.
 #'  \item \strong{Lambda_lower and Lambda_upper} are the lower and upper limit 
 #'  of the time values from the concentration-time profile used to estimate 
 #'  Lambda_z, respectively, in case the "LambdaTimeRange" is used to specify 
@@ -93,8 +93,7 @@
 #'  sampled time extrapolated to infinity based on the last predicted 
 #'  concentration obtained from the regression line used to estimate Lambda_z 
 #'  (Clast_pred).
-#'  \item \strong{Tau} is the dosing interval for steady-state data. This value 
-#'  is assumed equarion over multiple doses.
+#'  \item \strong{Tau} is the dosing interval for steady-state data. 
 #'  \item \strong{Cmin and Tmin} are the minimum concentration between 0 and 
 #'  Tau and the corresponding time, respectively.
 #'  \item \strong{Cavg} is the average concentration between 0 and Tau for 
@@ -114,7 +113,7 @@
 #' @param backExtrp If back-extrapolation is needed for AUC (TRUE or FALSE) 
 #'   (\strong{FALSE})
 #' @param negConcExcl Exclude -ve conc (\strong{FALSE})
-#' @param doseType Steady-state (ss) or nonsteady-state (ns) dose
+#' @param doseType Steady-state (ss) or non-steady-state (ns) dose
 #'   (\strong{"ns"})
 #' @param adminType Route of administration
 #'   (iv-bolus,iv-infusion,extravascular) (\strong{"extravascular"})

R/histobs.plot.R

@@ -20,7 +20,7 @@
 #'   "AUCINF_pred", "AUMClast", "Cmax", "Tmax" and "HL_Lambda_z". 
 #'   (\strong{c("AUClast", "AUCINF_obs", "Cmax", "Tmax")})
 #' @param cunit Unit for concentration (default is \strong{\code{NULL}})
-#' @param tunit Unit for time (defulat is \strong{\code{NULL}})
+#' @param tunit Unit for time (default is \strong{\code{NULL}})
 #' @param spread Measure of the spread of simulated data (ppi (95\% parametric 
 #'   prediction interval) or npi (95\% nonparametric prediction interval)) 
 #'   (\strong{"npi"})

R/nca.check.obs.R

@@ -15,7 +15,7 @@
 #'   \strong{"TIME"}
 #' @param concNmObs Column name for concentration in observed data. Default is 
 #'   \strong{"DV"}
-#' @param doseType Steady-state (ss) or nonsteady-state (ns) dose. Default is 
+#' @param doseType Steady-state (ss) or non-steady-state (ns) dose. Default is 
 #'   \strong{"ns"}
 #' @param doseTime Dose time prior to the first observation for steady-state
 #'   data. Default is \strong{\code{NULL}}
@@ -54,7 +54,7 @@
 #'   given individual. Default is \strong{\code{NULL}}
 #' @param doseAmtNm Column name to specify dose amount. Default is
 #'   \strong{\code{NULL}}
-#' @param dateColNm colunm name for date if used (e.g. "Date", "DATE"). Default
+#' @param dateColNm column name for date if used (e.g. "Date", "DATE"). Default
 #'   is \strong{\code{NULL}}
 #' @param dateFormat date format (D-M-Y, D/M/Y or any other combination of
 #'   D,M,Y). Default is \strong{\code{NULL}}

R/nca.deviation.plot.R

@@ -12,7 +12,7 @@
 #' mandatory arguments, (i) deviation data, (ii) independent variable and (iii) 
 #' dependent variables. The deviation of the NCA metrics values estimated from
 #' the observed and simulated data are scaled by the "spread" of the simulated
-#' metrics values. The "spead" of the simulated data is measured either by the
+#' metrics values. The "speed" of the simulated data is measured either by the
 #' standard deviation or the 95% nonparametric interval.
 #' 
 #' @param plotdata A data frame containing the scaled deviation values of the
@@ -27,7 +27,7 @@
 #'   prediction interval) or npi (95\% nonparametric prediction interval))
 #'   (\strong{"npi"})
 #' @param cunit Unit for concentration (default is \strong{\code{NULL}})
-#' @param tunit Unit for time (defulat is \strong{\code{NULL}})
+#' @param tunit Unit for time (default is \strong{\code{NULL}})
 #' @return returns the data frame with the NPDE values based on the input data.
 #' @export
 #'

R/nca.ind.data.R

@@ -27,7 +27,7 @@
 #'   for all individuals. If TI is the name of a column with numeric data
 #'   present in the data set, TI is set to the unique value of the column for a
 #'   given individual. Default is \strong{\code{NULL}}
-#' @param dateColNm colunm name for date if used (e.g. "Date", "DATE"). Default
+#' @param dateColNm column name for date if used (e.g. "Date", "DATE"). Default
 #'   is \strong{\code{NULL}}
 #' @param dateFormat date format (D-M-Y, D/M/Y or any other combination of
 #'   D,M,Y). Default is \strong{\code{NULL}}

R/nca.npde.plot.R

@@ -16,7 +16,7 @@
 #' @param figlbl Figure label based on dose identifier and/or population
 #'   stratifier (\strong{NULL})
 #' @param cunit Unit for concentration (default is \strong{\code{NULL}})
-#' @param tunit Unit for time (defulat is \strong{\code{NULL}})
+#' @param tunit Unit for time (default is \strong{\code{NULL}})
 #'
 #' @return returns a data frame with the mean and SD of population NPDE values
 #'   of each NCA metric and two graphical objects created by arrangeGrob

R/nca.pde.deviation.outlier.R

@@ -40,7 +40,7 @@
 #'   "AUClast", "AUClower_upper", "AUCINF_obs", "AUCINF_pred", "AUMClast",
 #'   "Cmax", "Tmax" and "HL_Lambda_z". (\strong{c("AUClast", "Cmax")})
 #' @param cunit Unit for concentration (default is \strong{\code{NULL}})
-#' @param tunit Unit for time (defulat is \strong{\code{NULL}})
+#' @param tunit Unit for time (default is \strong{\code{NULL}})
 #' @param noPlot Perform only NCA calculations without any plot generation
 #'   (TRUE, FALSE) (\strong{FALSE})
 #' @param onlyNCA If \code{TRUE} only NCA is performed and ppc part is ignored

R/nca_ind_data.R

@@ -23,7 +23,7 @@
 #'   for all individuals. If TI is the name of a column with numeric data
 #'   present in the data set, TI is set to the unique value of the column for a
 #'   given individual. Default is \strong{\code{NULL}}
-#' @param dateColNm colunm name for date if used (e.g. "Date", "DATE"). Default
+#' @param dateColNm column name for date if used (e.g. "Date", "DATE"). Default
 #'   is \strong{\code{NULL}}
 #' @param dateFormat date format (D-M-Y, D/M/Y or any other combination of
 #'   D,M,Y). Default is \strong{\code{NULL}}

R/ncappc.R

@@ -24,7 +24,7 @@
 #' population mean. The individual level comparison is performed based on the 
 #' deviation of the mean of any NCA metric based on simulations for an 
 #' individual from the corresponding NCA metric obtained from the observed data.
-#' Additionaly, \pkg{ncappc} reports the normalized prediction distribution 
+#' Additionally, \pkg{ncappc} reports the normalized prediction distribution 
 #' error (NPDE) of the simulated NCA metrics for each individual and their 
 #' distribution within a population. \pkg{ncappc} produces two default outputs 
 #' depending on the type of analysis performed, i.e., traditional NCA and PopPK 
@@ -35,15 +35,15 @@
 #' values of the NCA metrics estimated from the observed and the simulated data,
 #' along with the deviation, NPDE, regression parameters used to estimate the 
 #' elimination rate constant and the related population statistics. The default 
-#' values of the arguments used in \pkg{ncappc} are shown in the \strong{Useage}
+#' values of the arguments used in \pkg{ncappc} are shown in the \strong{Usage}
 #' section of this document and/or in \strong{bold} in the \strong{Arguments} 
 #' section.
 #'
 #' @param obsFile Observed concentration-time data from an internal data frame
 #'   or an external table with comma, tab or space as separators. 
 #' @param simFile NONMEM simulation output with the simulated concentration-time
 #'   data from an internal data frame or an external table. \code{NULL} produces
-#'   just the NCA output, a filename or data frame prduces the NCA output as
+#'   just the NCA output, a filename or data frame produces the NCA output as
 #'   well as the PopPK diagnosis. If \code{new_data_method=TRUE} then this can
 #'   be a compressed file as well. 
 #' @param str1Nm Column name for 1st level population stratifier. Default is
@@ -99,7 +99,7 @@
 #'   \strong{\code{NULL}}
 #' @param adminType Route of administration. Allowed options are iv-bolus,
 #'   iv-infusion or extravascular. Default is \strong{"extravascular"}
-#' @param doseType Steady-state (ss) or nonsteady-state (ns) dose. Default is
+#' @param doseType Steady-state (ss) or non-steady-state (ns) dose. Default is
 #'   \strong{"ns"}
 #' @param doseTime Dose time prior to the first observation for steady-state
 #'   data. Default is \strong{\code{NULL}}
@@ -138,7 +138,7 @@
 #'   \strong{(c"AUClast", "Cmax")}
 #' @param timeFormat time format (number, H:M, H:M:S). Default is
 #'   \strong{"number"}
-#' @param dateColNm colunm name for date if used (e.g. "Date", "DATE"). Default
+#' @param dateColNm column name for date if used (e.g. "Date", "DATE"). Default
 #'   is \strong{\code{NULL}}
 #' @param dateFormat date format (D-M-Y, D/M/Y or any other combination of
 #'   D,M,Y). Default is \strong{\code{NULL}}

R/read_nm_table.R

@@ -1,6 +1,6 @@
-#' Read nonmem table files produced.
+#' Read NONMEM table files produced.
 #' 
-#' The function reads in nonmem table files.  The files can be created from the 
+#' The function reads in NONMEM table files.  The files can be created from the 
 #' \code{$EST} line or from the \code{$SIM} line in a NONMEM model file.
 #' 
 #' Currently the function searches the \code{$TABLE} for multiple header lines, 
@@ -17,7 +17,7 @@
 #'   downloaded. Remote gz files can also be automatically downloaded &
 #'   decompressed.
 #' @param only_obs Should the non-observation lines in the data set be removed? 
-#'   Currently filtered uisng the expected \code{MDV} column. \code{TRUE} or 
+#'   Currently filtered using the expected \code{MDV} column. \code{TRUE} or 
 #'   \code{FALSE}.
 #' @param method Can be one of \code{default}, \code{readr_1},  \code{readr_2}, 
 #'   \code{readr_3}, \code{slow}. \code{readr_1} should be fastest.  All but