A B C D E F G H I L M N O P R S T W
aggregate_linest_list | Linear estimates matrix |
beets | beets data |
breastcancer | Gene expression signatures for p53 mutation status in 250 breast cancer samples |
budworm | budworm data |
by-lapply | Formula based version of lapply. |
by-order | Ordering (sorting) rows of a data frame |
by-sample | Sampling from a data frame |
by-split | Split a data frame |
by-subset | Finds subsets of a dataframe which is split by variables in a formula. |
by-summary | Function to calculate groupwise summary statistics |
by-transform | Function to make groupwise transformations |
carcass | Lean meat contents of 344 pig carcasses |
carcassall | Lean meat contents of 344 pig carcasses |
codstom | Diet of Atlantic cod in the Gulf of St. Lawrence (Canada) |
coef.esticon_class | Contrasts for lm, glm, lme, and geeglm objects |
coef.linest_class | Compute linear estimates |
confint.linest_class | Compute linear estimates |
crimeRate | crimeRate |
data-beets | beets data |
data-breastcancer | Gene expression signatures for p53 mutation status in 250 breast cancer samples |
data-budworm | budworm data |
data-carcass | Lean meat contents of 344 pig carcasses |
data-codstom | Diet of Atlantic cod in the Gulf of St. Lawrence (Canada) |
data-crimeRate | crimeRate |
data-dietox | Growth curves of pigs in a 3x3 factorial experiment |
data-haldCement | Heat development in cement under hardening. |
data-milkman | Milk yield data for manually milked cows. |
data-NIRmilk | NIRmilk |
data-potatoes | Weight and size of 20 potatoes |
descStat | Computing simple descriptive statistics of a numeric vector. |
dietox | Growth curves of pigs in a 3x3 factorial experiment |
esticon | Contrasts for lm, glm, lme, and geeglm objects |
esticon.coxph | Contrasts for lm, glm, lme, and geeglm objects |
esticon.geeglm | Contrasts for lm, glm, lme, and geeglm objects |
esticon.glm | Contrasts for lm, glm, lme, and geeglm objects |
esticon.gls | Contrasts for lm, glm, lme, and geeglm objects |
esticon.lm | Contrasts for lm, glm, lme, and geeglm objects |
esticon.lme | Contrasts for lm, glm, lme, and geeglm objects |
esticon.mer | Contrasts for lm, glm, lme, and geeglm objects |
esticon.merMod | Contrasts for lm, glm, lme, and geeglm objects |
fatacid | Fish oil in pig food |
firstlastobs | Locate the index of the first/last unique value |
firstobs | Locate the index of the first/last unique value |
firstobs.default | Locate the index of the first/last unique value |
firstobs.formula | Locate the index of the first/last unique value |
get_contrasts | Auxillary functions for computing lsmeans, contrasts etc |
get_contrasts.default | Auxillary functions for computing lsmeans, contrasts etc |
get_contrasts.merMod | Auxillary functions for computing lsmeans, contrasts etc |
get_linest_list | Linear estimates matrix |
get_vartypes | Auxillary functions for computing lsmeans, contrasts etc |
get_X | Auxillary functions for computing lsmeans, contrasts etc |
get_X.default | Auxillary functions for computing lsmeans, contrasts etc |
get_X.merMod | Auxillary functions for computing lsmeans, contrasts etc |
get_xlevels | Auxillary functions for computing lsmeans, contrasts etc |
get_xlevels.default | Auxillary functions for computing lsmeans, contrasts etc |
get_xlevels.mer | Auxillary functions for computing lsmeans, contrasts etc |
get_xlevels.merMod | Auxillary functions for computing lsmeans, contrasts etc |
haldCement | Heat development in cement under hardening. |
is-estimable | Determines if contrasts are estimable. |
is_estimable | Determines if contrasts are estimable. |
lapplyBy | Formula based version of lapply. |
lastobs | Locate the index of the first/last unique value |
lastobs.default | Locate the index of the first/last unique value |
lastobs.formula | Locate the index of the first/last unique value |
LE_matrix | Linear estimates matrix |
LE_matrix.default | Linear estimates matrix |
linest | Compute linear estimates |
linest-get | Auxillary functions for computing lsmeans, contrasts etc |
linest-matrix | Linear estimates matrix |
linest.default | Compute linear estimates |
linest.geeglm | Compute linear estimates |
linest.glm | Compute linear estimates |
linest.lm | Compute linear estimates |
linest.lmerMod | Compute linear estimates |
linest.merMod | Compute linear estimates |
ls-means | Compute LS-means (aka population means or marginal means) |
LSmeans | Compute LS-means (aka population means or marginal means) |
LSmeans.default | Compute LS-means (aka population means or marginal means) |
LSmeans.lmerMod | Compute LS-means (aka population means or marginal means) |
milkman | Milk yield data for manually milked cows. |
NIRmilk | NIRmilk |
null-basis | Finds the basis of the (right) null space. |
null_basis | Finds the basis of the (right) null space. |
orderBy | Ordering (sorting) rows of a data frame |
parseGroupFormula | Extract components from a formula with "conditioning bar" |
popMeans | Compute LS-means (aka population means or marginal means) |
popMeans.default | Compute LS-means (aka population means or marginal means) |
popMeans.lmerMod | Compute LS-means (aka population means or marginal means) |
potatoes | Weight and size of 20 potatoes |
recodeVar | Recode values of a vector |
renameCol | Rename columns in a matrix or a dataframe. |
sampleBy | Sampling from a data frame |
set_covariate_val | Auxillary functions for computing lsmeans, contrasts etc |
set_xlevels | Auxillary functions for computing lsmeans, contrasts etc |
splitBy | Split a data frame |
subSeq | Find sub-sequences of identical elements in a vector. |
subsetBy | Finds subsets of a dataframe which is split by variables in a formula. |
summary.esticon_class | Compute linear estimates |
summary.linest_class | Compute linear estimates |
summaryBy | Function to calculate groupwise summary statistics |
timeSinceEvent | Calculate "time since event" in a vector. |
transformBy | Function to make groupwise transformations |
which.maxn | Where are the n largest or n smallest elements in a numeric vector ? |
which.minn | Where are the n largest or n smallest elements in a numeric vector ? |