View source: R/checkGroupOrderSEM.R

checkGrpOrderSEM | R Documentation |

`checkGrpOrderSEM`

tests each line of 'x' if expected order of (replicate-) groups (defined in 'grp') appears intact,
while inluding SEM of groups (replicates) via a proportional weight 'sdFact' as (avGr1-gr1SEM) < (avGr1+gr1SEM) < (avGr2-gr2SEM) < (avGr2+gr2SEM).
Used for comparing groups of measures with expected profile (by matching expected order)
to check if data in 'x' represting groups ('grp') as lines follow.
Groups of size=1: The sd (and SEM) can't be estimated directly without any replicates, however, an estimate can be given by shrinking if 'shrink1sampSd'=TRUE
under the hypothesis that the overall mechanisms determining the variances is constant across all samples.

checkGrpOrderSEM( x, grp, sdFact = 1, revRank = TRUE, shrink1sampSd = TRUE, silent = FALSE, callFrom = NULL )

`x` |
matrix or data.frame |

`grp` |
(factor) to organize replicate columns of (x) |

`sdFact` |
(numeric) is proportional factor how many units of SEM will be used for defining lower & upper bounds of each group |

`revRank` |
(logical) optionally revert ranks |

`shrink1sampSd` |
(logical) |

`silent` |
(logical) suppress messages |

`callFrom` |
(character) allow easier tracking of message(s) produced |

logical vector if order correct (as expected based on ranks)

takes only 10

mat1 <- matrix(rep(11:24,3)[1:40],byrow=TRUE,ncol=8) checkGrpOrderSEM(mat1,grp=gl(3,3)[-1])

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