AgroR (version 1.3.6)

desd_fat2_quant_ad: Analysis: Regression analysis by orthogonal polynomials for double factorial scheme with additional control

Description

Regression analysis by orthogonal polynomials for double factorial scheme with additional control. Cases in which the additional belongs to the regression curve, being common to the qualitative levels. In these cases, the additional (usually dose 0/control treatment) is not part of the factor arrangement. One option addressed by this function is to analyze a priori as a double factorial scheme with an additional one and correct the information a posteriore using information from the initial analysis, such as the degree of freedom and the sum of squares of the residue.

Usage

desd_fat2_quant_ad(output, ad.value = 0, design = "FAT2DIC.ad", grau = 1)

Arguments

output

Output from a FAT2DIC.ad or FAT2DBC.ad function

ad.value

Additional treatment quantitative factor level

design

Type of experimental project (FAT2DIC.ad or FAT2DBC.ad)

grau

Degree of the polynomial (only for the isolated effect of the quantitative factor)

Author

Gabriel Danilo Shimizu,

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

Examples

#==================================================
# Data set
trat=rep(c("A","B","C"),e=12)
dose=rep(rep(c(200,400,600,800),e=3),3)
d0=c(40,45,48)
respo=c(60,55,56, 60,65,66, 70,75,76,
        80,85,86, 50,55,56, 70,75,76,
        60,65,66, 50,45,46, 50,45,46,
        50,55,66, 70,75,76, 80,85,86)
repe=rep(c("R1","R2","R3"),12)
#==================================================
# Analysis FAT2DIC.ad
resu=FAT2DIC.ad(trat,dose,repe = repe,respo,responseAd = d0,quali = c(TRUE,FALSE),grau21 = c(1,2,1))

#==================================================
# Regression analysis
desd_fat2_quant_ad(resu,ad.value=0,design="FAT2DIC.ad")


# Data set
trat=rep(c("A","B"),e=12)
dose=rep(rep(c(200,400,600,800),e=3),2)
d0=c(40,45,48)
respo=c(60,55,56,60,65,66,70,75,76,80,85,86,50,45,46,50,55,66,70,75,76,80,85,86)
repe=rep(c("R1","R2","R3"),8)
#==================================================
# Analysis FAT2DIC.ad
resu=FAT2DIC.ad(trat,dose,repe = repe,respo,responseAd = d0,quali = c(TRUE,FALSE))
#==================================================
# Regression analysis
desd_fat2_quant_ad(resu,ad.value=0,design="FAT2DIC.ad",grau=1)