cablekillo.blogg.se - Make a box and whisker plot of the data 24 18 29

#Make a box and whisker plot of the data 24 18 29 update#
#Make a box and whisker plot of the data 24 18 29 plus#

#Make a box and whisker plot of the data 24 18 29 plus#

Legal variable names for the formula include names(x$data) plus theĮxtended formula interface: The primary variable terms (both the LHS The formula is evaluated on the complete data set in the long form. Variables (which define the subsets plotted in different panels) to be used Variables (used for the per-panel display) and the optional conditioning This argumentįollows the lattice rules for formulas, describing the primary

, subscripts = TRUE, subset = TRUE )Ī mids object, typically created by mice() orįormula that selects the data to be plotted. # S3 method for class 'mids' bwplot ( x, data, na.groups = NULL, groups = NULL, as.table = TRUE, theme = mice.theme (), mayreplicate = TRUE, allow.multiple = TRUE, outer = TRUE, = lattice :: lattice.getOption ( "" ). ibind: Enlarge number of imputations by combining 'mids' objects.glm.mids: Generalized linear model for 'mids' object.glance.mipo: Glance method to extract information from a 'mipo' object.getqbar: Extract estimate from 'mipo' object.fluxplot: Fluxplot of the missing data pattern.flux: Influx and outflux of multivariate missing data patterns.

#Make a box and whisker plot of the data 24 18 29 update#

fix.coef: Fix coefficients and update model.filter.mids: Subset rows of a 'mids' object.fico: Fraction of incomplete cases among cases with observed.extractBS: Extract broken stick estimates from a 'lmer' object.extend.formulas: Extends formula's with predictor matrix settings.extend.formula: Extends a formula with predictors.estimice: Computes least squares parameters.densityplot.mids: Density plot of observed and imputed data.D3: Compare two nested models using D3-statistic.D2: Compare two nested models using D2-statistic.D1: Compare two nested models using D1-statistic.construct.blocks: Construct blocks from 'formulas' and 'predictorMatrix'.complete.mids: Extracts the completed data from a 'mids' object.cbind.mids: Combine 'mids' objects by columns.cbind: Combine R objects by rows and columns.bwplot.mids: Box-and-whisker plot of observed and imputed data.bwplot.mads: Box-and-whisker plot of amputed and non-amputed data.brandsma: Brandsma school data used Snijders and Bosker (2012).

as.mitml.result: Converts into a 'mitml.result' object.

as.mira: Create a 'mira' object from repeated analyses.

as.mids: Converts an imputed dataset (long format) into a 'mids'.

appendbreak: Appends specified break to the data.

ampute.mcar: Multivariate amputation under a MCAR mechanism.

ampute.discrete: Multivariate amputation based on discrete probability.

ntinuous: Multivariate amputation based on continuous probability.

ampute: Generate missing data for simulation purposes.