Nothing
## ----include = FALSE, echo = FALSE--------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup, include = FALSE---------------------------------------------------
library(MEAanalysis)
library(tidyverse)
knitr::opts_knit$set(root.dir = '..')
## ----warning = FALSE, message = FALSE-----------------------------------------
help(package = "MEAanalysis")
## ----warning = FALSE, message = FALSE-----------------------------------------
burst_recording_1 <- create_electrode_dataset(
data_path = system.file("extdata", "input_electrode_burst.csv", package = "MEAanalysis"),
recording_identifier = "burst_recording_1")
# view first 10 lines of dataset
head(burst_recording_1, 10)
## ----warning = FALSE, message = FALSE-----------------------------------------
burst_recording_2 <- create_electrode_dataset(
data_path = system.file("extdata", "comparison_agonist_challenge_electrode_burst_list.csv", package = "MEAanalysis"),
recording_identifier = "burst_recording_2")
# view first 10 lines of dataset
head(burst_recording_2, 10)
## -----------------------------------------------------------------------------
output_table <- rbind(burst_recording_1, burst_recording_2)
# view first 10 lines of dataset
head(output_table, 10)
## -----------------------------------------------------------------------------
# assign the 'output_table' data table object created above to a different object name 'analysis_dataset'
# this means that when columns are added to the 'analysis_dataset' the data table can be refreshed by rerunning this line of code
analysis_dataset <- output_table
# add burst duration calculated columns for defined time intervals to the 'analysis_dataset'
analysis_dataset <- well_burst_duration(data = analysis_dataset, 0, 60, recording_identifier = "burst_recording_1")
analysis_dataset <- well_burst_duration(data = analysis_dataset, 0, 60, recording_identifier = "burst_recording_2")
analysis_dataset <- well_burst_duration(data = analysis_dataset, 60, 120, recording_identifier = "burst_recording_1")
analysis_dataset <- well_burst_duration(data = analysis_dataset, 60, 120, recording_identifier = "burst_recording_2")
## ----echo = FALSE-------------------------------------------------------------
# view first 10 lines of analysis dataset
knitr::kable(analysis_dataset[1:10,]) %>% kableExtra::scroll_box(width = "100%")
## ----warning = FALSE, fig.height = 5, fig.width = 7---------------------------
p <- well_barchart(data = analysis_dataset,
well_parameter = "burst_duration",
well_filter = "A1|A2|A3|A4",
statistic = se)
print(p)
## ----warning = FALSE, fig.height = 5, fig.width = 7---------------------------
p <- p +
scale_fill_grey() +
ggtitle("A barchart to show MEA well average burst duration
within a given time period")
print(p)
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