isobar (version 1.18.0)

fit distributions: Fit weighted and unweighted Cauchy and Normal distributions

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

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)