Package: AgroR
Type: Package
Title: Experimental Statistics and Graphics for Agricultural Sciences
Version: 1.3.1
Date: 2022-08-29
Authors:
Maintainer: Gabriel Danilo Shimizu shimizu@uel.br
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi: 10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootechnics, Food Science and related areas).
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: ggplot2, nortest, lme4, crayon, lmtest, emmeans, multcomp, ggrepel, MASS, cowplot, multcompView, RColorBrewer, drc, dunn.test, gtools
Suggests: DT, knitr, rmarkdown, roxygen2
Depends: R (>= 3.6.0)
License: GPL (>= 2)
# Install release version from CRAN
install.packages("AgroR")
# Install development version from GitHub
devtools::install_github("https://github.com/AgronomiaR/AgroR.git")
aristolochia
: Germination of seeds of Aristolochia sp. as a function of temperature.bean
: Bean datacloro
: Sodium dichloroisocyanurate in soybeancorn
: Corn datacovercrops
: Covercrops dataemerg
: Emergence of passion fruit seeds over time .enxofre
: Sulfur datalaranja
: Orange plants under different rootstocksmirtilo
: Cutting blueberry dataorchard
: Orchard datapassiflora
: Substrate data in the production of passion fruit seedlingspepper
: Pepper dataphao
: Osmocote in Phalaenopsis sp.pomegranate
: Pomegranate dataporco
: Pig development and productionsensorial
: Sensorial datasimulate1
: Simulated data dictsimulate2
: Simulated data dbctsimulate3
: Simulated data dqltsoybean
: Soybean datatomate
: Tomato dataweather
: Weather datadesc
: Descriptive analysisdesc2fat
: Descriptive analysis (Two factors)desc3fat
: Descriptive analysis (Three factors)dispvar
: Boxplot with standardized datatabledesc
: Table descritive analysist test to compare means with a reference value
tonetest
: t test to compare means with a reference valueAnalysis for testing of two independent or dependent samples by parametric or non-parametric method
test_two
: Test for two samplesAnalysis of simple experiments
DIC
: Completely randomized designDBC
: Randomized block designDQL
: Latin square designAnalysis of simple experiments with an additional treatment for quantitative factor
dic.ad
: Completely randomized design with an additional treatment for quantitative factordbc.ad
: Randomized block design with an additional treatment for quantitative factorAnalysis of simple experiments in DIC and DBC by generalized linear model (Binomial or Poisson)
DIC.glm
: Completely randomized design by glmDBC.glm
: Randomized block design by glmAnalysis of experiments in DIC, DBC or DQL with multiple assessments over time or disregarding the effect of another factor
DICT
: Completely randomized design evaluated over timeDBCT
: Randomized block design evaluated over timeDQLT
: Latin square design evaluated over timeAnalysis of groups of experiments in DIC and DBC
conjdbc
: Joint analysis of experiments in randomized block designconjdic
: Joint analysis of experiments in completely randomized designAnalysis of groups of experiments in FAT2DBC
conjfat2dbc
: Joint analysis of experiments in randomized block design in double factorialAnalysis of experiments in double factorial design in DIC and DBC
FAT2DIC
: DIC experiments in double factorialFAT2DBC
: DBC experiments in double factorialAnalysis of double factorial design experiments in DIC or DBC with an additional treatment
FAT2DIC.ad
: DIC experiment in double factorial design with an additional treatmentFAT2DBC.ad
: DBC experiment in double factorial design with an additional treatmentAnalysis of DIC or DBC experiments in a factorial scheme with three factors
FAT3DIC
: DIC experiments in triple factorialFAT3DBC
: DBC experiments in triple factorialAnalysis of triple factorial design experiments in DIC or DBC with an additional treatment
FAT3DIC.ad
: DIC experiment in double factorial design with an additional treatmentFAT3DBC.ad
: DBC experiment in double factorial design with an additional treatmentSplit-plot scheme in DIC or DBC
PSUBDBC
: DBC experiments in split-plotPSUBDIC
: DIC experiments in split-plotSplitsplitplot parcels scheme in DBC
PSUBSUBDBC
: DBC experiments in split-split-plotPlot subdivided into randomized blocks with a subplot in a double factorial scheme
PSUBFAT2DBC
: Plot subdivided into randomized blocks with a subplot in a double factorial schemeDunnett’s Test for Comparison of Control vs. Treatments
dunnett
: Dunnett testDunn’s non-parametric test
dunn
: Dunn testLogistic regression 3 or 4 parameters
logistic
: Logistic regressionPolynomial Regression to the Third Degree
polynomial
: Linear regression graphpolynomial2
: Linear regression graph in double factorialpolynomial2_color
: Linear regression graph in double factorial with color graphPrincipal component analysis
PCA_function
: Principal components analysisbarfacet
: Bar graph for one factor with facetsbargraph_onefactor
: Group DIC, DBC and DQL functions column chartsbargraph_twofactor
: Group FAT2DIC, FAT2DBC, PSUBDIC or PSUBDBC functions column chartsbarplot_positive
: Positive barplotbar_dunnett
: Barplot for Dunnett testbar_graph
: Bar graph for one factorbar_graph2
: Bar graph for one factor model 2corgraph
: Correlogramcor_ic
: Plot Pearson correlation with interval of confidenceibarplot.double
: Invert letters for two factor chartline_plot
: Line chartplot_cor
: Plot correlationplot_interaction
: Interaction plotplot_jitter
: Column, box or segment chart with observationsplot_TH
: Climate chart of temperature and humidityplot_TH1
: Climate chart of temperature and humidity (Model 2)radargraph
: Circular column chartseg_graph
: Segment graph for one factorseg_graph2
: Point graph for one factor model 2sk_graph
: Scott-Knott graphicsspider_graph
: Spider graph for sensorial analysisTBARPLOT.reverse
: Reverse graph of DICT, DBCT and DQL output when geom=“bar”plot_tonetest
: Graphic for t test to compare means with a reference value