02299naa a2200313 a 450000100080000000500110000800800410001910000220006024501060008226000090018852013770019765000220157465000160159665000180161265000150163065000160164565000270166165000270168865300150171565300140173065300310174465300220177565300270179770000250182470000190184970000200186870000150188877300820190319989582023-01-04       2014    bl uuuu     u00u1 u    #d1 aMAIA, A. de H. N.  aInference on arthropod demographic parametersbcomputational advances using R.h[electronic resource]  c2014  aAbstract: We developed a computer program for life table analysis using the open source, free software programming environment R. It is useful to quantify chronic nonlethal effects of treatments on arthropod populations by summarizing information on their survival and fertility in key population parameters referred to as fertility life table parameters. Statistical inference on fertility life table parameters is not trivial because it requires the use of computationally intensive methods for variance estimation. Our codes present some advantages with respect to a previous program developed in Statistical Analysis System. Additional multiple comparison tests were incorporated for the analysis of qualitative factors; a module for regression analysis was implemented, thus, allowing analysis of quantitative factors such as temperature or agrochemical doses; availability is granted for users, once it was developed using an open source, free software programming environment. To illustrate thedescriptive and inferential analysis implemented in lifetable.R, we present and discuss two examples: 1) a study quantifying the inßuence of the proteinase inhibitor berenil on the eucalyptus defoliator Thyrinteina arnobia (Stoll) and 2) a study investigating the inßuence of temperature on demographic parameters of a predaceous ladybird, Hippodamia variegata (Goeze).  aComputer software  aLife tables  aLinear models  aArthropoda  aEntomologia  aEstatística agrícola  aPrograma de computador  aArtrópode  aFertility  aIntrinsic rate of increase  aLinear regression  aUncertainty assessment1 aPAZIANOTTO, R. A. A.1 aLUIZ, A. J. B.1 aPRADO, J. S. M.1 aPERVEZ, A.  tJournal of Economic Entomology, College Parkgv. 107, n. 1, p. 432-439, 2014.