fit-distr: Fit weighted and unweighted Cauchy and Normal distributions

In isobar: Analysis and quantitation of isobarically tagged MSMS proteomics data

Description

Functions to fit the probability density functions on ratio distribution.

Usage

fitCauchy(x)
fitNorm(x, portion = 0.75)
fitWeightedNorm(x, weights)
fitNormalCauchyMixture(x)
fitGaussianMixture(x, n = 500)
fitTlsd(x)

Arguments

x	Ratios
weights	Weights
portion	Central portion of data to take for computation
n	number of sampling steps

Value

Cauchy,Norm

Author(s)

Florian P Breitwieser, Jacques Colinge.

See Also

proteinRatios

Examples

library(distr)
data(ibspiked_set1)
data(noise.model.hcd)
# calculate protein ratios of Trypsin and CERU_HUMAN. Note: this is only
#  for illustration purposes. For estimation of sample variability, data
#  from all protein should be used
pr <- proteinRatios(ibspiked_set1,noise.model=noise.model.hcd,
                    cl=as.character(c(1,1,2,2)),combn.method="intraclass",protein=c("136429","P00450"))

# fit a Cauchy distribution
ratiodistr <- fitCauchy(pr$lratio)
plot(ratiodistr)

isobar documentation built on Nov. 8, 2020, 7:48 p.m.