search for: runmatrix

...r higher level interactions with categorical variables when the full hierarchy of effects is not present. Depending on which lower level interactions are specified, the factor encoding changes for a higher level interaction. Consider the following minimal reproducible example: -------------- > runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B X3C X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C 1 1 1 1 0 0 1 0 0 0 0 0 0 2...

...gorical > variables when the full hierarchy of effects is not present. Depending on > which lower level interactions are specified, the factor encoding changes > for a higher level interaction. Consider the following minimal reproducible > example: > > -------------- > >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B X3C X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C > 1 1 1 1 0 0 1 0 0 0 0 > 0 0...

.... Depending on >> > which lower level interactions are specified, the factor encoding changes >> > for a higher level interaction. Consider the following minimal >> reproducible >> > example: >> > >> > -------------- >> > >> >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B X3C >> X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C >> > 1 1 1 1 0 0 1 0 0...

...encoding >> >> > changes >> >> > for a higher level interaction. Consider the following minimal >> >> reproducible >> >> > example: >> >> > >> >> > -------------- >> >> > >> >> >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> >> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B X3C >> >> X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C >> >> > 1 1 1 1 0...

...gt; > for a higher level interaction. Consider the following minimal >> >> >> reproducible >> >> >> > example: >> >> >> > >> >> >> > -------------- >> >> >> > >> >> >> >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> >> >> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B >> >> >> X3C >> >> >> X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C >...

...level interactions are specified, the factor encoding > changes > >> > for a higher level interaction. Consider the following minimal > >> reproducible > >> > example: > >> > > >> > -------------- > >> > > >> >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> > >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B X3C > >> X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C > >> > 1 1 1 1 0 0 1...

...following minimal >> >> >> >> reproducible >> >> >> >> > example: >> >> >> >> > >> >> >> >> > -------------- >> >> >> >> > >> >> >> >> >> runmatrix = >> >> >> >> >> expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> >> >> >> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 >> >> >> >> X3B >> >> >>...

...nges > >> >> > for a higher level interaction. Consider the following minimal > >> >> reproducible > >> >> > example: > >> >> > > >> >> > -------------- > >> >> > > >> >> >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> > >> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 X3B > X3C > >> >> X1:X2 X1:X3B X1:X3C X2:X3B X2:X3C X1:X2:X3B X1:X2:X3C > >> >> > 1...

...teraction. Consider the following minimal > >> >> >> reproducible > >> >> >> > example: > >> >> >> > > >> >> >> > -------------- > >> >> >> > > >> >> >> >> runmatrix = expand.grid(X1=c(1,-1),X2=c(1, > -1),X3=c("A","B","C"))> > >> >> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 > X3B > >> >> >> X3C > >> >> >> X1:X2 X1:X3B X1:X3C X2:X3B X2:X3...

...; >> >> >> reproducible > >> >> >> >> > example: > >> >> >> >> > > >> >> >> >> > -------------- > >> >> >> >> > > >> >> >> >> >> runmatrix = > >> >> >> >> >> expand.grid(X1=c(1,-1),X2=c(1,-1),X3=c("A","B","C"))> > >> >> >> >> model.matrix(~(X1+X2+X3)^3,data=runmatrix) (Intercept) X1 X2 > >> >> >> >> X3B > >&g...