Takes in the input of create_error_df_redox_multiple and creates a simple ranges plot: e.g. minimum and maximum measureable value at different error thresholds for each sensor.

Takes in the input of create_error_df_redox_multiple and creates a simple ranges plot: e.g. minimum and maximum measureable value at different error thresholds for each sensor.

create_ranges_multiple(
  error_df,
  thresholds = c(0.5, 1, 1.5, 2, 2.5),
  parameter = "E"
)

Arguments

error_df	A dataframe of errors at least these columns: 'Name': this sensor name 'E': the redox potential (mV), 'Error': the error in this redox potential (mV) 'Inaccuracy': The inaccuracy of the measurements (relative to R).
thresholds	A vector of error thresholds (e.g. c(0.5, 1) for 0.5mV and 1mV)
parameter	the biochemical value being measured

Value

A dataframe of suited ranges with these columns: 'Sensor_Name': the name of the sensor 'Minimum': the minimum redox potential (mV) measurable at the given inaccuracy 'Maximum': the maximum redox potential (mV) measurable at the given inaccuracy 'Inaccuracy': the inaccuracy associated with this row (relative) 'error_thresh': the error threshold associated with this row (mV)

Examples

error_df <- create_error_df_redox_multiple(
  c(0.02), -400, -200,
  data.frame(
    Rmin = 0.97,
    Rmax = 4.12,
    delta = 0.23,
    name = "roGFP2",
    e0 = -299
  )
)
create_ranges_multiple(error_df)
#>   Sensor_Name Minimum Maximum Inaccuracy error_thresh
#> 1 roGFP2_0.02      NA      NA       0.02          0.5
#> 2 roGFP2_0.02 -304.11 -274.38       0.02          1.0
#> 3 roGFP2_0.02 -312.56 -266.09       0.02          1.5
#> 4 roGFP2_0.02 -317.29 -261.39       0.02          2.0
#> 5 roGFP2_0.02 -320.59 -258.11       0.02          2.5