cry (version 0.5.2)

avei_vs_res: Mean and standard deviation in resolution shells.

Description

Calculates averages and standard deviations of the input vector quantity for all reflections, corresponding to shells of resolution.

Usage

avei_vs_res(nbin, resos, II = NULL, m = max(resos), M = min(resos))

Value

A named list of length 4. counts is a vector of integers, the number of reflections in each resolution shell. mids is the representative inverse resolution for each resolution shell; the value is decided by the function hist. ave

is the average value in each resolution shell and sd is the corresponding standard deviation.

Arguments

nbin

A positive integer. The number of resolution shells.

resos

A vector of real quantities. These are the resolutions (in angstroms) corresponding to the data vector, II. If the data vector is missing, the averages will be computed just for resos.

II

A vector of real quantities. This is the key quantity whose averages and standard deviations are calculated. If II is set to NULL, resolutions averages and standard deviations will be the calculated quantities.

m

Minimum (highest) resolution (in angstroms). Data with resolution smaller than m will be ignored when calculating the averages.

M

Maximum (lowest) resolution (in angstroms). Data with resolution larger than M will be ignored when calculating the averages.

Details

Binning is done with inverse resolutions in order to have lower resolutions correspond to small numbers and high resolutions to large numbers. The output mids, ave and sd correspond to inverse resolutions.

Examples

datadir <- system.file("extdata",package="cry")
filename <- file.path(datadir,"1dei_phases.mtz")
lmtz <- readMTZ(filename)
hkl <- lmtz$reflections[,1:3]
II <- lmtz$reflections[,4]
cpars <- lmtz$header$CELL
resos <- hkl_to_reso(hkl[,1],hkl[,2],hkl[,3],
                     cpars[1],cpars[2],cpars[3],
                     cpars[4],cpars[5],cpars[6])
ltmp <- avei_vs_res(20,resos,II)
plot(ltmp$mids,ltmp$ave,type="b",pch=16)