fun_xy: Interpolation between curve points

In JannikVindeloev/RAPr: Functions and methods to manipulate micro titer plate time series.

Description

The function will currently find the mean y for a given x. Only works for monotonic functions. A future enhancement could be to loop through y segments to find y for a given x within each segment. This would be equivalent to rough root finding function. Such segments could be found using: rlen(x > x_out)

Usage

fun_xy(df_mtp, x_out, x_name = "hours", y_name = "fit",
  feat_name = x_name)

Arguments

df_mtp	The data frame containing x and y to interpolate
x_out	the x to evaluate y
x_name	the name of x (chr) in the data frame
y_name	the name of y (chr) in the data frame
feat_name	the root name of the feature, defaults to x_name

Value

returns a data frame with feature and value

See Also

mtp_feature

Examples

# An example
df <- dplyr::data_frame(hours = 1:10, fit = 2*hours)
class(df) <- c("mtp", "data.frame", "tbl_df")
ggplot2::qplot(x= hours, y = fit, data = df, geom = "line")
fun_xy(df, c(2.5, 3.2, 4.1))

JannikVindeloev/RAPr documentation built on May 7, 2019, 10:21 a.m.