Experimental Statistics and Graphics for Agricultural Sciences
Utils: Area under the curve
AgroR: Experimental Statistics and Graphics for Agricultural Sciences
Graph: Barplot for Dunnett test
Graph: Bar graph for one factor
Graph: Bar graph for one factor model 2
Graph: Bar graph for one factor with facets
Graph: Group DIC, DBC and DQL functions column charts
Graph: Group FAT2DIC, FAT2DBC, PSUBDIC or PSUBDBC functions column cha...
Graph: Positive barplot
Utils: Interval of confidence for groups
Analysis: Joint analysis of experiments in randomized block design
Analysis: Joint analysis of experiments in completely randomized desig...
Analysis: Joint analysis of experiments in randomized block design in ...
Graph: Plot Pearson correlation with interval of confidence
Graph: Correlogram
Analysis: Randomized block design with an additional treatment for qua...
Analysis: Randomized block design by glm
Analysis: Randomized block design
Analysis: Randomized block design evaluated over time
Descriptive: Descriptive analysis
Descriptive: Descriptive analysis (Two factors)
Descriptive: Descriptive analysis (Three factors)
Analysis: Regression analysis by orthogonal polynomials for double fac...
Analysis: Completely randomized design with an additional treatment fo...
Analysis: Completely randomized design by glm
Analysis: Completely randomized design
Analysis: Completely randomized design evaluated over time
Descriptive: Boxplot with standardized data
Analysis: Latin square design
Analysis: Latin square design evaluated over time
Analysis: Post-hoc Dunn
Analysis: Dunnett test
Utils: Summary of the analysis for factor arrangement with two qualita...
Analysis: DBC experiment in double factorial design with an additional...
Analysis: DBC experiments in double factorial
Analysis: DIC experiment in double factorial design with an additional...
Analysis: DIC experiments in double factorial
Analysis: DBC experiments in triple factorial with aditional
Analysis: DBC experiments in triple factorial
Analysis: DIC experiments in triple factorial with aditional
Analysis: DIC experiments in triple factorial
utils: group graphs of the output of simple experiments in dic, dbc or...
Graph: Invert letters for two factor chart
Analysis: Method to evaluate similarity of experiments based on QMres
Graph: Line chart
Analysis: Logistic regression
Analysis: Principal components analysis
Graph: Plot correlation
Graph: Interaction plot
Graph: Column, box or segment chart with observations
Graph: Climate chart of temperature and humidity
Graph: Climate chart of temperature and humidity (Model 2)
Graphics: Graphic for t test to compare means with a reference value
Analysis: Linear regression graph
Analysis: Linear regression graph in double factorial
Analysis: Linear regression graph in double factorial with color graph
Analysis: DBC experiments in split-plot
Analysis: DIC experiments in split-plot
Analysis: Plot subdivided into randomized blocks with a subplot in a d...
Analysis: DBC experiments in split-split-plot
Analysis: Polynomial splitting for double factorial in DIC and DBC
Graph: Circular column chart
Graph: Point graph for one factor
Graph: Point graph for one factor model 2
Graph: Scott-Knott graphics
Utils: Experimental sketch
Graph: Spider graph for sensorial analysis
Analysis: DBC experiments in strip-plot
Utils: Summary of Analysis of Variance and Test of Means
Utils: Summary of Analysis of Variance and Test of Means for Joint ana...
Utils: Dunnett's Test Summary
Descriptive: Table descritive analysis
Graph: Reverse graph of DICT, DBCT and DQL output when geom="bar"
Analysis: Test for two samples
Analysis: t test to compare means with a reference value
Utils: Data transformation (Box-Cox, 1964)
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).
Useful links