1986
DOI: 10.1117/12.964937
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A Software Package For The Analysis Of General Multilayer Performance Data

Abstract: In an effort to make data on the reflectivity and transmission of multilayer optical elements more usable, we have developed a computer code for the manipulation and graphical display of a general data set consisting of x, y, and delta -y values. The code was developed for a DEC VAX computer running a version 4.2 or later VMS operating system. Facilities are available for algebraic manipulation, editing, smoothing, interpolating, and deconvolving data sets in a straightforward way. The code is entirely self -c… Show more

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Cited by 8 publications
(9 citation statements)
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“…To find the positive and negative associations (i.e. trade‐offs) among different traits, the Pearson correlation test was performed using the ‘PerformanceAnalytics’ package (Peterson & Carl, 2020). All plots were made by using the ‘ggplot2’ package (Wickham, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…To find the positive and negative associations (i.e. trade‐offs) among different traits, the Pearson correlation test was performed using the ‘PerformanceAnalytics’ package (Peterson & Carl, 2020). All plots were made by using the ‘ggplot2’ package (Wickham, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…We performed Spearman's rank correlations (using the PerformanceAnalytics package; Peterson & Carl, 2020) on the explanatory variables: annual mean temperature, annual precipitation, latitude, altitude and human footprint index. The annual mean temperature and altitude were negatively correlated (||ρ = −0.83; p < 0.001).…”
Section: Methodsmentioning
confidence: 99%
“…We examined the relation between bulk organic matter levels, depth, DNA fragment length and DNA damage with linear dependence by computing Pearson correlation coefficients in R (4.1.1) (R Core Team, 2021) using the PerformanceAnalytics 1.5.3 package to visualise the Correlation Matrix (Peterson & Carl, 2020). We also calculated each Pearson's correlation coefficients using the cor.test function in R. A two‐sample t ‐test was used to test for significant differences of DNA damage levels between shorter (<100 bp) and longer (>200 bp) DNA fragments.…”
Section: Methodsmentioning
confidence: 99%