From 09acb170a9fdbcfdd0c2acbd9c37c3d2aa6ca92e Mon Sep 17 00:00:00 2001 From: Andrew Hooker Date: Fri, 24 Aug 2018 17:46:25 +0200 Subject: [PATCH] Correct spelling --- R/est.nca.R | 13 ++++++------- R/histobs.plot.R | 2 +- R/nca.check.obs.R | 4 ++-- R/nca.deviation.plot.R | 4 ++-- R/nca.ind.data.R | 2 +- R/nca.npde.plot.R | 2 +- R/nca.pde.deviation.outlier.R | 2 +- R/nca_ind_data.R | 2 +- R/ncappc.R | 10 +++++----- R/read_nm_table.R | 6 +++--- man/est.nca.Rd | 13 ++++++------- man/histobs.plot.Rd | 2 +- man/nca.check.obs.Rd | 4 ++-- man/nca.deviation.plot.Rd | 4 ++-- man/nca.ind.data.Rd | 2 +- man/nca.npde.plot.Rd | 2 +- man/nca.pde.deviation.outlier.Rd | 2 +- man/nca_ind_data.Rd | 2 +- man/ncappc.Rd | 10 +++++----- man/read_nm_table.Rd | 6 +++--- 20 files changed, 46 insertions(+), 48 deletions(-) diff --git a/R/est.nca.R b/R/est.nca.R index 7f2f15b..2539205 100644 --- a/R/est.nca.R +++ b/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 @@ -41,7 +41,7 @@ #' \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 @@ -49,7 +49,7 @@ #' 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"}) diff --git a/R/histobs.plot.R b/R/histobs.plot.R index 18ea8c0..e2007f1 100644 --- a/R/histobs.plot.R +++ b/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"}) diff --git a/R/nca.check.obs.R b/R/nca.check.obs.R index b20e6a0..e8f24f0 100644 --- a/R/nca.check.obs.R +++ b/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}} diff --git a/R/nca.deviation.plot.R b/R/nca.deviation.plot.R index 52447d6..ed786b1 100644 --- a/R/nca.deviation.plot.R +++ b/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 #' diff --git a/R/nca.ind.data.R b/R/nca.ind.data.R index 0629a7c..5bf15e7 100644 --- a/R/nca.ind.data.R +++ b/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}} diff --git a/R/nca.npde.plot.R b/R/nca.npde.plot.R index b516b6c..8161b7c 100644 --- a/R/nca.npde.plot.R +++ b/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 diff --git a/R/nca.pde.deviation.outlier.R b/R/nca.pde.deviation.outlier.R index effc3b7..0a0498a 100644 --- a/R/nca.pde.deviation.outlier.R +++ b/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 diff --git a/R/nca_ind_data.R b/R/nca_ind_data.R index e2cf3f4..c01c7b1 100644 --- a/R/nca_ind_data.R +++ b/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}} diff --git a/R/ncappc.R b/R/ncappc.R index 20fa6be..12fe1aa 100644 --- a/R/ncappc.R +++ b/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 @@ -35,7 +35,7 @@ #' 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. #' @@ -43,7 +43,7 @@ #' 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}} diff --git a/R/read_nm_table.R b/R/read_nm_table.R index c83051a..102c103 100644 --- a/R/read_nm_table.R +++ b/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 diff --git a/man/est.nca.Rd b/man/est.nca.Rd index 5629630..aa57d46 100644 --- a/man/est.nca.Rd +++ b/man/est.nca.Rd @@ -22,7 +22,7 @@ est.nca(time, conc, backExtrp = FALSE, negConcExcl = FALSE, \item{negConcExcl}{Exclude -ve conc (\strong{FALSE})} -\item{doseType}{Steady-state (ss) or nonsteady-state (ns) dose +\item{doseType}{Steady-state (ss) or non-steady-state (ns) dose (\strong{"ns"})} \item{adminType}{Route of administration @@ -82,7 +82,7 @@ for a given individual using concentration vs. time data. } \details{ \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 @@ -100,7 +100,7 @@ below. 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 @@ -115,7 +115,7 @@ below. \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 @@ -123,7 +123,7 @@ below. 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 @@ -167,8 +167,7 @@ below. 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 diff --git a/man/histobs.plot.Rd b/man/histobs.plot.Rd index d366ea3..b1f6b40 100644 --- a/man/histobs.plot.Rd +++ b/man/histobs.plot.Rd @@ -21,7 +21,7 @@ for this histograms are "AUClast", "AUClower_upper", "AUCINF_obs", \item{cunit}{Unit for concentration (default is \strong{\code{NULL}})} -\item{tunit}{Unit for time (defulat is \strong{\code{NULL}})} +\item{tunit}{Unit for time (default is \strong{\code{NULL}})} \item{spread}{Measure of the spread of simulated data (ppi (95\% parametric prediction interval) or npi (95\% nonparametric prediction interval)) diff --git a/man/nca.check.obs.Rd b/man/nca.check.obs.Rd index 7c2a9c7..fc9679e 100644 --- a/man/nca.check.obs.Rd +++ b/man/nca.check.obs.Rd @@ -25,7 +25,7 @@ nca.check.obs(obsData, idNmObs = "ID", timeNmObs = "TIME", \item{concNmObs}{Column name for concentration in observed data. Default is \strong{"DV"}} -\item{doseType}{Steady-state (ss) or nonsteady-state (ns) dose. Default is +\item{doseType}{Steady-state (ss) or non-steady-state (ns) dose. Default is \strong{"ns"}} \item{doseTime}{Dose time prior to the first observation for steady-state @@ -80,7 +80,7 @@ given individual. Default is \strong{\code{NULL}}} \item{doseAmtNm}{Column name to specify dose amount. Default is \strong{\code{NULL}}} -\item{dateColNm}{colunm name for date if used (e.g. "Date", "DATE"). Default +\item{dateColNm}{column name for date if used (e.g. "Date", "DATE"). Default is \strong{\code{NULL}}} \item{dateFormat}{date format (D-M-Y, D/M/Y or any other combination of diff --git a/man/nca.deviation.plot.Rd b/man/nca.deviation.plot.Rd index 621d6b2..cbe92e1 100644 --- a/man/nca.deviation.plot.Rd +++ b/man/nca.deviation.plot.Rd @@ -27,7 +27,7 @@ prediction interval) or npi (95\% nonparametric prediction interval)) \item{cunit}{Unit for concentration (default is \strong{\code{NULL}})} -\item{tunit}{Unit for time (defulat is \strong{\code{NULL}})} +\item{tunit}{Unit for time (default is \strong{\code{NULL}})} } \value{ returns the data frame with the NPDE values based on the input data. @@ -42,6 +42,6 @@ estimated from observed and simulated data. This function requires three 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. } diff --git a/man/nca.ind.data.Rd b/man/nca.ind.data.Rd index 3233304..82d779c 100644 --- a/man/nca.ind.data.Rd +++ b/man/nca.ind.data.Rd @@ -38,7 +38,7 @@ 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}}} -\item{dateColNm}{colunm name for date if used (e.g. "Date", "DATE"). Default +\item{dateColNm}{column name for date if used (e.g. "Date", "DATE"). Default is \strong{\code{NULL}}} \item{dateFormat}{date format (D-M-Y, D/M/Y or any other combination of diff --git a/man/nca.npde.plot.Rd b/man/nca.npde.plot.Rd index fea4cd5..7c994a8 100644 --- a/man/nca.npde.plot.Rd +++ b/man/nca.npde.plot.Rd @@ -21,7 +21,7 @@ stratifier (\strong{NULL})} \item{cunit}{Unit for concentration (default is \strong{\code{NULL}})} -\item{tunit}{Unit for time (defulat is \strong{\code{NULL}})} +\item{tunit}{Unit for time (default is \strong{\code{NULL}})} } \value{ returns a data frame with the mean and SD of population NPDE values diff --git a/man/nca.pde.deviation.outlier.Rd b/man/nca.pde.deviation.outlier.Rd index c18a763..05ec270 100644 --- a/man/nca.pde.deviation.outlier.Rd +++ b/man/nca.pde.deviation.outlier.Rd @@ -41,7 +41,7 @@ test to detect outliers. The allowed NCA metrics for this histograms are \item{cunit}{Unit for concentration (default is \strong{\code{NULL}})} -\item{tunit}{Unit for time (defulat is \strong{\code{NULL}})} +\item{tunit}{Unit for time (default is \strong{\code{NULL}})} \item{noPlot}{Perform only NCA calculations without any plot generation (TRUE, FALSE) (\strong{FALSE})} diff --git a/man/nca_ind_data.Rd b/man/nca_ind_data.Rd index c197525..d500084 100644 --- a/man/nca_ind_data.Rd +++ b/man/nca_ind_data.Rd @@ -36,7 +36,7 @@ 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}}} -\item{dateColNm}{colunm name for date if used (e.g. "Date", "DATE"). Default +\item{dateColNm}{column name for date if used (e.g. "Date", "DATE"). Default is \strong{\code{NULL}}} \item{dateFormat}{date format (D-M-Y, D/M/Y or any other combination of diff --git a/man/ncappc.Rd b/man/ncappc.Rd index 11c9543..5390a48 100644 --- a/man/ncappc.Rd +++ b/man/ncappc.Rd @@ -32,7 +32,7 @@ or an external table with comma, tab or space as separators.} \item{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.} @@ -114,7 +114,7 @@ c(1, 2, "<20", ">=100", "!=100")). Default is \strong{\code{NULL}}} \item{adminType}{Route of administration. Allowed options are iv-bolus, iv-infusion or extravascular. Default is \strong{"extravascular"}} -\item{doseType}{Steady-state (ss) or nonsteady-state (ns) dose. Default is +\item{doseType}{Steady-state (ss) or non-steady-state (ns) dose. Default is \strong{"ns"}} \item{doseTime}{Dose time prior to the first observation for steady-state @@ -168,7 +168,7 @@ AUCINF_pred, AUMClast, Cmax, Tmax, HL_Lambda_z). Default is \item{timeFormat}{time format (number, H:M, H:M:S). Default is \strong{"number"}} -\item{dateColNm}{colunm name for date if used (e.g. "Date", "DATE"). Default +\item{dateColNm}{column name for date if used (e.g. "Date", "DATE"). Default is \strong{\code{NULL}}} \item{dateFormat}{date format (D-M-Y, D/M/Y or any other combination of @@ -255,7 +255,7 @@ means of each NCA metric is compared with the corresponding observed 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 @@ -266,7 +266,7 @@ misspecification. In addition, tabular outputs are generated showing the 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. } diff --git a/man/read_nm_table.Rd b/man/read_nm_table.Rd index 4d62ee7..5353c80 100644 --- a/man/read_nm_table.Rd +++ b/man/read_nm_table.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/read_nm_table.R \name{read_nm_table} \alias{read_nm_table} -\title{Read nonmem table files produced.} +\title{Read NONMEM table files produced.} \usage{ read_nm_table(nm_table, only_obs = FALSE, method = "default", quiet = TRUE, sim_num = FALSE, sim_name = "NSIM") @@ -18,7 +18,7 @@ downloaded. Remote gz files can also be automatically downloaded & decompressed.} \item{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}.} \item{method}{Can be one of \code{default}, \code{readr_1}, \code{readr_2}, @@ -40,7 +40,7 @@ Returns a data frame of the simulated table with an added column for "tbl", "data.frame")} for easy use with \code{\link[dplyr]{dplyr}}. } \description{ -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. } \details{