DataFrameImport: Data Frame Import

In sysbioTurin/connector: Fitting and clustering of longitudinal data

Data Frame Import

Description

Reads the data.frame and creates a list storing all the information.

Usage

DataFrameImport(TimeSeriesDataFrame, AnnotationFrame = NULL)

Arguments

TimeSeriesDataFrame

Dataframe of three columns storing the time series. The first columns, called "ID", stores the identification number of each sample. The second column, labeled "Observation", contains the data observation over the time and the respective time point is reported in the third column, labeled "Time"

AnnotationFrame

If NULL, then in the ConnectorList only the feature ID will be reported. Otherwise a dataframe must be passed, with a number of rows equal to the number of samples in the TimeSeriesDataFrame. The first column must be named "ID" and it stores the identification numbers exploited for the matching with the samples saved in the TimeSeriesDataFrame. Then it is possible to add a column per feature to consider and to associate with the respective sample (depending on the identification number in the first column)

Details

One data frame is requested to run the data analysis exploiting the CONNECTOR package:

• the TimeSeriesDataFrame, reporting the growth evolution data.

Value

DataFrameImport returns a list, called ConnectorList, with four arguments: (i) Dataset: data frame with three columns (i.e. ID, data and time values) encoding the growth data for each sample, (ii) LenCurv: the vector reporting the number of observations collected per sample (iii) LabCurv: the data frame matching the samples with their annotations, (iv) TimeGrid: the vector storing all the sample time points (i.e. time grid). Furthermore, it prints a brief summary of the input data, i.e. the total number of curves (samples), the minimum and the maximum curve length.

Author(s)

Cordero Francesca, Pernice Simone, Sirovich Roberta

sysbioTurin/connector documentation built on April 9, 2024, 12:10 p.m.