Package: insectecol 1.1.2

Wangyao Li

insectecol: Insect Ecology Data Analysis Toolkit

A collection of analytical tools for insect ecology research, currently covering age-stage, two-sex life table analysis, dose-response bioassays, temperature-dependent development and insect phenology prediction. The life table module follows the age-stage, two-sex life table theory of Chi (1988) <doi:10.1093/ee/17.1.26> and Chi et al. (2020) <doi:10.1127/entomologia/2020/0936>. It supports fast batch processing of multi-group datasets, validates raw 'csv' data, computes cohort size, mean fecundity, age-stage survival rates, age-specific survival, age-specific fecundity, life expectancy, and derived population parameters (net reproductive rate, intrinsic and finite rates of increase, mean generation time), simultaneously generates age-stage survival curves for all groups, and exports all tabular results and plots to 'Excel' in a single run. The bioassay module estimates lethal concentrations by the traditional and the weighted (improved) linear regression methods and by probit analysis (Bliss, 1934) <doi:10.1126/science.79.2037.38>, with the control-mortality correction of Abbott (1925) <doi:10.1093/jee/18.2.265a>, 95% confidence intervals and chi-square goodness-of-fit tests; the lethal proportion can be set freely (e.g., 25%, 50%, 70% or 90%), so any LC value such as the LC25, LC70 or LC90 can be computed, not only the LC50. The regression plots and tables are exported to 'Excel'. The degree-day module estimates the developmental threshold temperature and the effective accumulated temperature by the linear degree-day method (Campbell et al., 1974) <doi:10.2307/2402197>, and fits the common nonlinear temperature- dependent development models following Logan et al. (1976) <doi:10.1093/ee/5.6.1133> (Logan-6), Lactin et al. (1995) <doi:10.1093/ee/24.1.68> and Briere et al. (1999) <doi:10.1093/ee/28.1.22>, plus a 7-parameter Wang model; it selects the best model by AICc, predicts durations and accumulates field degree-days. The emergence module applies the stage-grading method to a single survey of the population stage structure, i.e. to stage-frequency data (Kiritani and Nakasuji, 1967) <doi:10.1007/bf02514921> and Manly (1974) <doi:10.1007/bf00345751>, and projects the beginning, peak and end of the adult emergence period (the 16%, 50% and 84% quantiles), optionally shifting the eclosion dates by the pre-oviposition period and the egg duration to forecast larval hatch. Further extensions, such as median lethal temperature/time (LT50), are planned.

Authors:Wangyao Li [aut, cre, cph], Yongsheng Zhang [aut], Huan Yu [aut]

insectecol_1.1.2.tar.gz
insectecol_1.1.2.zip(r-4.7-any)insectecol_1.1.2.zip(r-4.6-any)insectecol_1.1.2.zip(r-4.5-any)
insectecol_1.1.2.tgz(r-4.6-any)insectecol_1.1.2.tgz(r-4.5-any)
insectecol_1.1.2.tar.gz(r-4.7-any)insectecol_1.1.2.tar.gz(r-4.6-any)
insectecol_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
insectecol/json (API)

# Install 'insectecol' in R:
install.packages('insectecol', repos = c('https://seaghost-0.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/seaghost-0/insectecol/issues

On CRAN:

Conda:

3.30 score 1 stars 197 downloads 48 exports 50 dependencies

Last updated from:56970ac5a9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK201
source / vignettesOK191
linux-releaseOK149
macos-releaseOK184
macos-oldrelOK144
windows-develOK140
windows-releaseOK130
windows-oldrelOK134
wasm-releaseOK110

Exports:calc_excalc_exjcalc_Fcalc_fxjcalc_lambdacalc_lxcalc_mxcalc_Ncalc_rcalc_R0calc_sxjcalc_Tcheck_path_typedefault_stage_namesemergence_analyzeemergence_calcemergence_exportemergence_export_plotemergence_readgdd_analyzegdd_calcgdd_checkgdd_comparegdd_dailygdd_exportgdd_export_plotgdd_plotgdd_predictgdd_readget_stage_nameslc50_analyzelc50_calculatelc50_exportlc50_export_autolc50_export_plotlc50_export_plot_autolc50_plotlc50_readlifeTable_analyzelifeTable_boot_testlifeTable_bootstraplifeTable_buildlifeTable_calculatelifeTable_calculate_alllifeTable_checklifeTable_exportlifeTable_plotlifeTable_read

Dependencies:base64encbitbit64clicliprcpp11crayondplyrfarvergenericsggplot2gluegtablehmsisobandjsonlitelabelinglifecyclemagrittropenxlsxpillarpkgconfigprettyunitsprogresspurrrR6raggRColorBrewerRcppreadrrlangS7scalesshowtextshowtextdbstringistringrsysfontssystemfontstextshapingtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrzip

Readme and manuals

Help Manual

Help pageTopics
Age-Stage Life Expectancy e_xjcalc_exj
Check the Type of an Input Pathcheck_path_type
Default Developmental Stage Namesdefault_stage_names
Predict the Emergence Period from a Stage-Structure Surveyemergence_analyze
Core Emergence-Period Calculation (Stage-Grading Method)emergence_calc
Save Emergence-Period Projection Resultsemergence_export
Export the Emergence-Period Plot as PNGemergence_export_plot
Read a Stage-Structure Survey from a File or a Folderemergence_read
Analyse Temperature-Dependent Development (Main Function)gdd_analyze
Compute Effective Accumulated Temperature and Developmental Parameters (Linear or Nonlinear Models)gdd_calc
Check Developmental Data (Long Format) Before Fittinggdd_check
Compare Temperature-Development Modelsgdd_compare
Daily Accumulation of Degree-Days (Field Application)gdd_daily
Save Degree-Day Analysis Resultsgdd_export
Export the Degree-Day Plotgdd_export_plot
Plot Developmental Rate vs Temperature with the Fitted Modelgdd_plot
Predict Developmental Duration at Given Temperaturesgdd_predict
Read Insect Developmental Data from a Folder or a Filegdd_read
Extract the Developmental Stage Names from the Headerget_stage_names
Analyse Bioassay Data for LC Estimation (Main Function)lc50_analyze
Batch Calculation of LC Valueslc50_calculate
Export LC Results to 'Excel'lc50_export
Save the LC Results of Every Data File (One xlsx per csv)lc50_export_auto
Save LC50 Plotslc50_export_plot
Save the LC Figure of Every Data File (One image per csv)lc50_export_plot_auto
LC50 Regression Plotslc50_plot
Read Bioassay Data for LC Estimationlc50_read
Analyse a Life Table from User-Supplied Columns (Main Function)lifeTable_analyze
Paired Bootstrap Test Between Two Life TableslifeTable_boot_test
Bootstrap Standard Errors of Life Table ParameterslifeTable_bootstrap
Build a Life Table Object from User-Supplied ColumnslifeTable_build
Batch Analysis of Life Table DatalifeTable_calculate
Calculate All Parameters of One Life TablelifeTable_calculate_all
Validate a Life Table Data SetlifeTable_check
Save the Results of One Life Table AnalysislifeTable_export
Age-Stage Survival Rate CurveslifeTable_plot
Read an Age-Stage, Two-Sex Life Table from a csv FilelifeTable_read
Plot an Emergence-Period Projectionplot.emergence
Quantiles of an Emergence-Period Projectionpredict.emergence
Print an Emergence-Period Projectionprint.emergence
Summarise an Emergence-Period Projectionsummary.emergence