MC4_Methods | R Documentation |
mc4_mthds
returns a list of methods to be used
during level 4 multiple-concentration processing for calculating bmad
mc4_mthds()
The functions contained in the list returned by mc4_mthds
take
aeids
(a numeric vector of aeid values) and returns a list of expressions
to be executed in the mc4
(not exported) function environment. The
functions are described here for reference purposes, The
mc4_mthds
function is not exported, nor is it intended for use.
All available methods are described in the Available Methods section, listed by the type of function and the function/method name.
A list of functions
Although it does not say so specifically in each description, all methods are applied by aeid.
More information about the level 4 multiple-concentration processing is available in the package vignette, "Data_processing."
Calculate the baseline median absolute value (bmad) as the median absolute deviation of normalized response values (rep) for test compound wells (wllt = t) with concentration index (cndx) equal to 1 or 2. Calculate one standard deviation of the normalized response for test compound wells (wllt = t) with a concentration index (cndx) of 1 or 2; onesd = sqrt(sum((resp - mean resp)^2)/sample size - 1). Onesd is used to establish BMR and therefore required for tcplfit2 processing.
Calculate the baseline median absolute value (bmad) as the median absolute deviation of normalized response values (resp) for neutral control wells (wllt = n). Calculate one standard deviation of the normalized response for neutral control wells (wllt = n); onesd = sqrt(sum((resp - mean resp)^2)/sample size - 1). Onesd is used to establish BMR and therefore required for tcplfit2 processing.
Limits bidirectional fitting and processes data in positive analysis direction only. Use for gain-of-signal or inverted data.
Replace baseline median absolute deviation (bmad) with 5 and one standard deviation (osd) of the normalized response for test compound wells (wllt = t) with a concentration index (cndx) of 1 or 2 with 16. Typically used for binary data where values would otherwise be 0; non-zero values are required for tcplfit2 processing.
Exclude unbounded models and only fit data to bounded models (hill, gnls, exp4 and exp5).
This function is not exported and is not intended to be used by the user.
mc4
, Method functions
to query what
methods get applied to each aeid
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