ttpeak | R Documentation |
This function returns the time to peak from time-intensity curve data. Raw data is smoothed using a loess smoother, and the time of peak is returned. Time to a specified proportion of the peak (e.g. time to 90% of peak) can be calculated. It is recommended that plotresult is set to TRUE in the first instance to visually deconfirm the analysis.
ttpeak(
data,
timevar,
intensityvar,
loess.span = 0.1,
peakproportion = NULL,
plotresult = FALSE,
...
)
data |
A dataframe with time and intensity values as columns. |
timevar |
A character string (in quotes) with the dataframe column name for the time variable. |
intensityvar |
A character string (in quotes) with dataframe column name for the intensity variable. |
loess.span |
A number between 0 and 1, with larger values resulting in a smoother curve. |
peakproportion |
A number between 0 and 1 which is used in the time to peak proportion calculations. If a number is entered the function will return the time to peak proportion. |
plotresult |
TRUE or FALSE to determine whether a plot of the results is generated. |
... |
Additional arguments to be passed into the loess() function. |
The time at which the loess curve is at its peak. Depending on the plotresult argument can also return a plot of the smoothed curve.
# Example usage:
# Generating simulated data
set.seed(123)
example_data <- data.frame(time = seq(0, 82, by = 0.25))
random_vals <- sample(1:10, nrow(example_data), replace = TRUE)
example_data$regionA_intensity <- log(example_data$time + 1) * 50 -
example_data$time * 2 + random_vals
example_data$regionB_intensity <- log(example_data$time + 7, base = 10) *
80 - example_data$time * 1.5 + random_vals
# Example with defaults:
ttpeak(data = example_data, timevar = "time", intensityvar = "regionA_intensity")
# Example with additional arguments:
ttpeak(data = example_data, timevar = "time", intensityvar = "regionA_intensity",
loess.span = 0.1, peakproportion = 0.9, plotresult = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.