| AGRdiff | Calculates growth rates (AGR, PGR, RGRdiff) between pairs of values in a vector |
| anom | Tests if any values in a vector are anomalous in being outside specified limits |
| anomPlot | Deprecated Functions in the Package asremlPlus |
| calcLagged | Replaces the values in a vector with the result of applying an operation to it and a lagged value |
| calcTimes | Calculates for a set of times, the time intervals after an origin time and the position of each within a time interval |
| cart.dat | A small data set to use in function examples |
| corrPlot | Deprecated Functions in the Package asremlPlus |
| cumulate | Calculates the cumulative sum, ignoring the first element if exclude.1st is TRUE |
| designFactors | Adds the factors and covariates for a blocked, split-plot design |
| exampleData | A small data set to use in function examples |
| fitSpline | Produce the fits from a natural cubic smoothing spline applied to a response in a 'data.frame', and growth rates can be computed using derivatives |
| getDates | Deprecated Functions in the Package asremlPlus |
| getTimesSubset | Forms a subset of 'responses' in 'data' that contains their values for the nominated times |
| growthPheno | Plotting, Smoothing and Growth Trait Extraction for Longitudinal Data |
| growthPheno-deprecated | Deprecated Functions in the Package asremlPlus |
| growthPheno-pkg | Plotting, Smoothing and Growth Trait Extraction for Longitudinal Data |
| GrowthRates | Calculates growth rates (AGR, PGR, RGRdiff) between pairs of values in a vector |
| imagetimesPlot | Deprecated Functions in the Package asremlPlus |
| importExcel | Imports an Excel imaging file and allows some renaming of variables |
| intervalGRaverage | Calculates the growth rates for a specified time interval by taking weighted averages of growth rates for times within the interval |
| intervalGRdiff | Calculates the growth rates for a specified time interval |
| intervalPVA | Selects a subset of variables using Principal Variable Analysis (PVA), based on the observed values within a specified time interval |
| intervalPVA.data.frame | Selects a subset of variables using Principal Variable Analysis (PVA), based on the observed values within a specified time interval |
| intervalValueCalculate | Calculates a single value that is a function of an individual's values for a response over a specified time interval |
| intervalWUI | Calculates water use indices (WUI) over a specified time interval to a data.frame |
| longi.dat | A small data set to use in function examples |
| longi.prime.dat | A small data set to use in function examples |
| longiPlot | Deprecated Functions in the Package asremlPlus |
| longitudinalPrime | Selects a set variables to be retained in a data frame of longitudinal data |
| PGR | Calculates growth rates (AGR, PGR, RGRdiff) between pairs of values in a vector |
| plotAnom | Identifies anomalous individuals and produces longitudinal plots without them and with just them |
| plotCorrmatrix | Calculates and plots correlation matrices for a set of responses |
| plotDeviationsBoxes | Produces boxplots of the deviations of the observed values from the smoothed values over values of x. |
| plotImagetimes | Plots the position of a time within an interval against the interval for each cart |
| plotLongitudinal | Plots longitudinal data for a set of indiividuals |
| plotMedianDeviations | Calculates and plots the median of the deviations of the smoothed values from the observed values. |
| probeDF | Compares, for a set of specified values of df, a response and the smooths of it, possibly along with growth rates calculated from the smooths |
| probeSmoothing | Compares, for a set of specified values of df and different smoothing methods, a response and the smooths of it, possibly along with growth rates calculated from the smooths |
| PVA | Selects a subset of variables using Principal Variable Analysis (PVA) |
| PVA.data.frame | Selects a subset of variables stored in a data.frame using Principal Variable Analysis (PVA) |
| PVA.matrix | Selects a subset of variables using Principal Variable Analysis (PVA) based on a correlation matrix |
| raw.dat | A small data set to use in function examples |
| rcontrib | Computes a measure of how correlated each variable in a set is with the other variable, conditional on a nominated subset of them |
| rcontrib.data.frame | Computes a measure of how correlated each variable in a set is with the other variable, conditional on a nominated subset of them |
| rcontrib.matrix | Computes a measure of how correlated each variable in a set is with the other variable, conditional on a nominated subset of them |
| RGRdiff | Calculates growth rates (AGR, PGR, RGRdiff) between pairs of values in a vector |
| RiceRaw.dat | Data for an experiment to investigate a rice germplasm panel |
| splitContGRdiff | Adds the growth rates calculated continuously over time for subsets of a response to a 'data.frame' |
| splitSplines | Adds the fits, and optionally growth rates computed from derivatives, after fitting natural cubic smoothing splines to subsets of a response to a 'data.frame' |
| splitValueCalculate | Calculates a single value that is a function of an individual's values for a response |
| tomato.dat | Longitudinal data for an experiment to investigate tomato response to mycorrhizal fungi and zinc |
| twoLevelOpcreate | Creates a data.frame formed by applying, for each response, a binary operation to the paired values of two different treatments |
| WUI | Calculates the Water Use Index (WUI) |