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LATEBLIGHT is a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage.
● Data Source:
CranContrib
● Keywords: models
● Alias: lateblight
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audpc
(Package: agricolae) :
Calculating the absolute or relative value of the AUDPC
Area Under Disease Progress Curve. The AUDPC measures the disease throughout a period. The AUDPC is the area that is determined by the sum of trapezes under the curve.
● Data Source:
CranContrib
● Keywords: manip
● Alias: audpc
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duncan.test
(Package: agricolae) :
Duncan's new multiple range test
This test is adapted from the Newman-Keuls method. Duncan's test does not control family wise error rate at the specified alpha level. It has more power than the other post tests, but only because it doesn't control the error rate properly. The Experimentwise Error Rate at: 1-(1-alpha)^(a-1); where "a" is the number of means and is the Per-Comparison Error Rate. Duncan's procedure is only very slightly more conservative than LSD. The level by alpha default is 0.05.
● Data Source:
CranContrib
● Keywords: htest
● Alias: duncan.test
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delete.na
(Package: agricolae) :
Omitting the rows or columns with missing observations of a matrix (NA)
In many situations it is required to omit the rows or columns less or greater with NA of the matrix.
● Data Source:
CranContrib
● Keywords: manip
● Alias: delete.na
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simulation.model
(Package: agricolae) :
Simulation of the linear model under normality
This process consists of validating the variance analysis results using a simulation process of the experiment. The validation consists of comparing the calculated values of each source of variation of the simulated data with respect to the calculated values of the original data. If in more than 50 percent of the cases they are higher than the real one, then it is considered favorable and the probability reported by the ANOVA is accepted, since the P-Value is the probability of (F > F.value).
● Data Source:
CranContrib
● Keywords: models
● Alias: simulation.model
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scheffe.test
(Package: agricolae) :
Multiple comparisons, scheffe
Scheffe 1959, method is very general in that all possible contrasts can be tested for significance and confidence intervals can be constructed for the corresponding linear. The test is conservative.
● Data Source:
CranContrib
● Keywords: htest
● Alias: scheffe.test
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This package contains functionality for the Statistical Analysis of experimental designs applied specially for field experiments in agriculture and plant breeding.
● Data Source:
CranContrib
● Keywords: package
● Alias: agricolae, agricolae-package
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kruskal
(Package: agricolae) :
Kruskal Wallis test and multiple comparison of treatments.
It makes the multiple comparison with Kruskal-Wallis. The parameters by default are alpha = 0.05.
● Data Source:
CranContrib
● Keywords: nonparametric
● Alias: kruskal
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In many situations it has intervals of class defined with its respective frequencies. By means of this function, the graphic of frequency is obtained and it is possible to superpose the normal distribution, polygon of frequency, Ojiva and to construct the table of complete frequency.
● Data Source:
CranContrib
● Keywords: aplot
● Alias: graph.freq
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It finds the absolute, relative and accumulated frequencies with the class intervals defined from a previously calculated histogram by the "hist" of R function.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: summary.graph.freq
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providing 
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