References
Shimizu, G. D., Marubayashi, R. Y. P. and Gonçalves, L. S. A. (2024). AgroR: Experimental Statistics and Graphics for Agricultural Sciences. R package version 1.3.6. Disponível em: https://cran.r-project.org/web/packages/AgroR/index.html
Data Input
The AgroR Shiny App allows the entry of data from files in .csv extension (Separated by comma, period or semi-colon), .xls or .xlsx. The data entry parameters change according to the number of factors.Note: The tabulation of data must be done in columns, each one being represented by a factor or response variable according to the number of categories
Analysis
The 'Descriptive Analysis' tab, in 'Summary', calculates the mean, median, sample variance, sample standard deviation and general and separate coefficient of variation according to the factor levelsIn this tab, under 'Graphics', general box plots are returned, separated by factors.
General summary
Factor 1 summary
Factor 2 summary
Factor 3 summary
Interaction Factor 1 × Factor 2 summary
Interaction Factor 1 × Factor 3 summary
Interaction Factor 2 × Factor 3 summary
Interaction Factor 1 × Factor 2 × Factor 3 summary
The experimental sketch by the AgroR Shiny App is limited to the rectangular format. For example, in the case of an experiment in a completely randomized design with five treatments and four replications, a 5 × 4 or 4 × 5 matrix is returned.
In treatments, you can define the number of factor levels or write the name of the treatments separated by ';'. For example 5 or 1; 2; 3; 4; 5.
It is possible to change rows by columns through the 'Position of repetitions' window. This changes the matrix from 5 × 4 to 4 × 5 for example.
To add streets on the x and y axis via the 'Add streets x-axis' and 'Add streets y-axis' windows, type the number of columns with x or y axis you want to join. For example, suppose you have 5 rows and 4 columns and you want add a street between the second and third column, it must be add in 'Add streets in x axis' the following order 1;1;2;2
In the box 'Do you want to represent only identification?', if the option 'Yes' is checked, only the identification and a dataset.csv file will be returned.
In the box 'Do you want to fix a sketch?', it allows to always generate the same sketch layout. Provide the model in 'What is the model?'.
In treatments, you can define the number of factor levels or write the name of the treatments separated by ';'. For example 5 or 1; 2; 3; 4; 5.
It is possible to change rows by columns through the 'Position of repetitions' window. This changes the matrix from 5 × 4 to 4 × 5 for example.
To add streets on the x and y axis via the 'Add streets x-axis' and 'Add streets y-axis' windows, type the number of columns with x or y axis you want to join. For example, suppose you have 5 rows and 4 columns and you want add a street between the second and third column, it must be add in 'Add streets in x axis' the following order 1;1;2;2
In the box 'Do you want to represent only identification?', if the option 'Yes' is checked, only the identification and a dataset.csv file will be returned.
In the box 'Do you want to fix a sketch?', it allows to always generate the same sketch layout. Provide the model in 'What is the model?'.
Completely Randomized design
Download csv
Download xlsx
Data set 'romã'
Download csv Download xlsx Data set 'bean'
Download csv Download xlsx Data set 'pepper'
Download csv Download xlsx Data set 'bean'
Download csv Download xlsx Data set 'pepper'
Design in randomized blocks
Latin square design.
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Download xlsx
Data set 'pork'
Completely randomized design in a double factorial scheme
Design in randomized blocks in a double factorial scheme
Randomized block design in a split-plot scheme
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Download xlsx
Data set 'tomato'
Data input
The AgroR Shiny App allows the entry of data from files in .csv (Separated by comma, period or semi-colon), .xls or .xlsx extension. The data input parameters change according to the experimental design and the arrangement of factors.Note: The tabulation of the data must be done in columns, each one being represented by a factor or response variable according to the experimental design
Analysis
General Painel
The application performs fixed effects analysis of variance for all experimental designs. The analysis output is basically divided into: Anova, boxplot, assumptions, residual plot, supplementary tests (Averages or regression test) and one or more plots.Anova
The application returns in the 'Anova' window, the analysis of variance frame.
Assumptions of analysis of variance
The assumption of normality of errors and homogeneity of variances is returned in the 'Assumptions' window. In this case, you can change the desired tests. The exception is for the error independence test, which only the Durbin-Watson test is implemented.
Standardized residuals chart
In the graphic window 'Graph of residuals', the graphic of standardized residuals is returned. In this topic, it is possible to identify the presence of outliers. In the graphic, limits -3 and 3 are used as a way of identifying these outliers.
Averages test or polynomial regression
In the graphical window 'Complementary tests', the average or regression tests are returned. In this topic, you must inform whether the factor or factors have qualitative (default) or quantitative levels. It is also in this topic that you define which average test you want to use and/or what degree of polynomial (in case of quantitative factor).
In the case of more than one factor studied, such as a factorial scheme or subdivided plot, and when there is significant interaction, use comma separation to define the degree of the polynomial.
To choose the degree of the polynomial, use 0 (Not significant), 1 (linear), 2 (quadratic) and 3 (cubic).
Graphics
Finally, on the 'Graph' tab, one or more graphs are displayed according to the experimental project. It returns column, box, segment or regression graphs. It is in this tab that it is possible to change various graph parameters, such as color, font size, font, dimension, axis name, etc...
Independence from errors (Durbin-Watson)
Interpretation: p value higher than the adopted significance level (generally 0.05), the null hypothesis is not rejected (Errors follow normal distribution, treatments have the same variance and errors are independent).
This function is equivalent to AgroR's summarise_anova
Transformação
Data insert
The AgroR Shiny App allows data entry in .csv extension (Separated by comma, semicolon or period), .xls or .xlsx. Data input changes depending on the number of factorsNote: Data tabulation must be done with variables in column
Isolated Effect and Anova Summary
Interaction Breakdown Mean Test
Averages followed by the same lowercase letter in the row and capital letter in the column do not differ from each other
The AgroR Shiny App allows the input of data in .csv extension (Separated by comma, period or semi-colon), .xls or .xlsx
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Next, you must enter the data and define which column refers to the treatment and the response variable. It is also necessary to define which level of the factor is represented by the witness (the name must be identical to the one written in the worksheet)
Once entered the information, the user can click on the 'RUN' button:
Once the commands have been executed, the contrasts with the reference treatment are returned in the 'Dunnett's Test' window. This table returns the estimate of the contrast, the confidence interval (Lower and Upper), the value of the test statistic ( t), the value of p and whether there was a significant difference.
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Analysis
General Painel
The application performs the dunnett test for experiments conducted in a completely randomized design and randomized blocks. The output of the analysis is basically divided into: Contrasts between treatments and a graph with confidence interval.Definition of parameters for analysis
The application requires that certain parameters be defined before the analysis. In the window below, you must define the experimental design used:
Contrasts
Once the commands have been executed, the contrasts with the reference treatment are returned in the 'Dunnett's Test' window. This table returns the estimate of the contrast, the confidence interval (Lower and Upper), the value of the test statistic ( t), the value of p and whether there was a significant difference.
Plots
Finally, on the 'Graph' tab, a graph is returned with the estimates of contrasts and the confidence interval.
Function under development (Wait for completion)
The AgroR Shiny App allows the input of data in .csv extension (Separated by comma, period or semi-colon), .xls or .xlsx
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Next, you must insert the data and define which column refers to the treatment and the response variable.
Once entered the information, the user can click on the 'RUN' button
Once the commands are executed, the 'Non-parametric test' window returns the test statistics and p value.
On the 'Complementary test' tab, the non-parametric mean test is returned (the value corrections can be changed using the button located below the experimental design.
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Analysis
General Painel
The application performs the Kruskal-Wallis or Friedman non-parametric test for experiments conducted in a completely randomized design and randomized blocks, respectively.Definition of parameters for analysis
The application requires that certain parameters be defined before the analysis. In the window below, you must define the experimental design used:
Test statistics
Once the commands are executed, the 'Non-parametric test' window returns the test statistics and p value.
Post-hoc test
On the 'Complementary test' tab, the non-parametric mean test is returned (the value corrections can be changed using the button located below the experimental design.
Graphics
Finally, in the 'Graph' tab, a column, box or point graph is returned. Changing various parameters of the graph, such as color, font size, font, dimension, axis name, etc...
Graphics parameters
Matrix All vs All
Orderly ratio.
Clustering
The AgroR Shiny App allows the input of data in .csv extension (Separated by comma, period or semi-colon), .xls or .xlsx
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Analysis
General Painel
The AgroR Shiny App allows the input of data in .csv extension (Separated by comma, period or semi-colon), .xls or .xlsx
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable
Note. The tabulation of data must be done in columns, each one being represented by a factor or response variable