santaR (version 1.2.4)

get_ind_time_matrix: Generate a Ind x Time DataFrame from input data

Description

Convert input data with each measurement as a row, to a data.frame of measurements with Individual as rows and Time as columns. Pairs of Individual and Timepoint without a measurement are left as NA. The resulting data.frame is employed as input for santaR_fit.

Usage

get_ind_time_matrix(Yi, ind, time, orderVect)

Value

data.frame of measurements for each IND x TIME. Rows are unique Individual IDs and columns unique measurement Time. Pairs of (IND,TIME) without a measurement are left as NA.

Arguments

Yi

vector of measurements

ind

vector of subject identifier (individual) corresponding to each measurement

time

vector of time corresponding to each measurement

orderVect

if provided, a vector of unique time to be used to order the time columns (otherwise rely on sort)

See Also

Other Analysis: get_grouping(), santaR_CBand(), santaR_auto_fit(), santaR_auto_summary(), santaR_fit(), santaR_plot(), santaR_pvalue_dist(), santaR_pvalue_fit(), santaR_start_GUI()

Examples

## 6 measurements, 3 subjects, 3 unique time-points
Yi   <- c(1,2,3,4,5,6)
ind  <- c('ind_1','ind_1','ind_1','ind_2','ind_2','ind_3')
time <- c(0,5,10,0,10,5)
get_ind_time_matrix(Yi, ind, time)
#        0  5 10
# ind_1  1  2  3
# ind_2  4 NA  5
# ind_3 NA  6 NA

## 56 measurements, 8 subjects, 7 unique time-points
Yi   <- acuteInflammation$data$var_1
ind  <- acuteInflammation$meta$ind
time <- acuteInflammation$meta$time
get_ind_time_matrix(Yi, ind, time)