## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----package_loading, message=FALSE, warning=FALSE---------------------------- library(workloopR) library(magrittr) library(ggplot2) ## ----get_data----------------------------------------------------------------- ## Load in the work loop example data from workloopR workloop_dat <- system.file( "extdata", "workloop.ddf", package = 'workloopR') %>% read_ddf(phase_from_peak = TRUE) %>% fix_GR(GR = 2) ## First we'll extract Time Time <- workloop_dat$Time ## Now Position Position <- workloop_dat$Position ## Force Force <- workloop_dat$Force ## Stimulation Stim <- workloop_dat$Stim ## Put it all together as a data.frame my_data <- data.frame(Time = Time, Position = Position, Force = Force, Stim = Stim) head(my_data) ## ----as_mus_basic------------------------------------------------------------- ## Put it together my_muscle_stim <- as_muscle_stim(x = my_data, type = "workloop", sample_frequency = 10000) ## Data are stored in columns and basically behave as data.frames head(my_muscle_stim) ggplot(my_muscle_stim, aes(x = Time, y = Position)) + geom_line() + labs(y = "Position (mm)", x = "Time (secs)") + ggtitle("Time course of length change") + theme_bw() ## ----attributes--------------------------------------------------------------- str(attributes(my_muscle_stim)) ## ----add_file_id-------------------------------------------------------------- ## This time, add the file's name via "file_id" my_muscle_stim <- as_muscle_stim(x = my_data, type = "workloop", sample_frequency = 10000, file_id = "workloop123") ## For simplicity, we'll just target the file_id attribute directly instead of ## printing all attributes again attr(my_muscle_stim, "file_id") ## ----------------------------------------------------------------------------- names(attributes(workloop_dat)) ## ----------------------------------------------------------------------------- str(attributes(workloop_dat))