Solved – Post-Hoc Scheffe Test (Agricolae). Where are the coefficients

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I know this is fundamental. Please forgive me. I am new to R.
I ran the Scheffe post-hoc test after ANCOVA using "scheffe.test" from package "Agricolae". I got the following output:

    > # Post-Hoc > library(agricolae) Warning message: package ‘agricolae’ was built under R version 3.4.2  >  > # Qstorm ~ LandUse*Rainfall > comparison <- scheffe.test(r3,"LandUse", group=FALSE, console=TRUE, + main="Qstorm among different LandUse*Rainfall")  Study: Qstorm among different LandUse*Rainfall  Scheffe Test for Qstorm   Mean Square Error  : 64.70584   LandUse,  means        Qstorm       std   r     Min      Max LF2 9.413656 13.234435  82 0.00000 64.90228 LF3 6.509084 10.008503 123 0.00000 46.30602 OP  4.676709  6.863499 121 0.00019 30.18665 VJR 5.710812 10.682185  66 0.00062 45.31401  Alpha: 0.05 ; DF Error: 384  Critical Value of F: 2.628149   Comparison between treatments means            Difference pvalue sig        LCL      UCL LF2 - LF3  2.9045716 0.0949   . -0.4238827 6.233026 LF2 - OP   4.7369466 0.0009 ***  1.3975073 8.076386 LF2 - VJR  3.7028437 0.0531   . -0.1579546 7.563642 LF3 - OP   1.8323751 0.3682     -1.1569616 4.821712 LF3 - VJR  0.7982721 0.9354     -2.7640364 4.360581 OP - VJR  -1.0341029 0.8718     -4.6066775 2.538472

May I ask, how do i interpret this results? More specifically, which are the coefficient of slope and coefficient of intercept to be substituted into the model?

Thank you!

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The second table of the results provides the pairwise comparison of the means, for all possible combination of groups. The comparison needs to be done on the 'Difference' column from the second table with the 'Critical value of F', and the p-values are generated based on that. Simply check the p-value column, if it is less than 0.05, it indicates the mean for the two groups are different.

In your example 'LF2 – OP' has a p-value of 0.0009, which says that the mean of groups 'LF2' and 'OP' are significantly different.

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