| apply.sum.effects | Apply the sum of effects to each participant. |
| calculate.icc | Calculates intracluster correlation coefficient for... |
| calculate.icc.dt.of.simulations | Generates a number of simulated datasets, and assesses the... |
| calculate.p.from.stat.dt | Calculate a p-value from a list of statistics, try and... |
| calculate.predictor.value.from.regression.model | Takes a linear regression model and provided values of... |
| calculate.sum.effects.dt | Sums the effects for each participant. |
| cols.exceed.level.threshold | Detects what columns in a data.table have more than a certain... |
| convert.continuous.to.binary | Converts a continuous variable to a binary one. Zero or... |
| cut.data.dt.into.conditions | Assigns control, transition, and intervention condition... |
| cut.data.dt.into.periods | Make a period column in a data.table, with each period... |
| cut.time.into.conditions | Cut timepoints from a single cluster into separate... |
| elapsed.time.message | Calculates and outputs a message of elapsed time. |
| faceted.line.plot | Plots a line and scatter plot faceted by sequence and cluster... |
| fit.icc.model | Creates a multiple regression model predicting ICC so that... |
| fit.icc.regression.model | Fits a regression model predicting ICC from provided... |
| fit.regression.model | Fits a regression model predicting an outcome variable from... |
| generate.base.data.dt | Generate a data table populated with participants from... |
| generate.cluster.dt | Generates a data.table that describes how clusters are... |
| generate.confound.interventions.parameters.dt | Generates a table of confounding interventions (e.g. those... |
| generate.cyclical.effect | Generates a cyclical effect based on a cosine function. |
| generate.data.dt | Creates a data.table with participants and simulates data for... |
| generate.effects.dt | Creates a data.table of all effects that will be applied. |
| generate.flat.effect | A difference that is flat, special case of... |
| generate.hypothetical.data.dt | Precalculate the intervention and control groups for each... |
| generate.individual.noise | Generates random normal noise. Doesn't really need a time... |
| generate.linear.effect | Generate a difference that varies linearly over time.... |
| generate.perm.dt | Generate a table that holds a number of ways in which to... |
| generate.sequence.dt | Generates a data.table that describes the sequence of... |
| generate.sim.parameters.dt | Generates parameters for simulating data for the study e.g.... |
| generate.stat.dt | Construct a statistic distribution generated by permuting... |
| generate.step.effect | A difference that is a step, special case of... |
| icc.model.3D.scatter.plot | Creates a 3D scatter plot of ICC vs two other variables, ICC... |
| icc.simulation.2D.scatter.plot | Creates a scatter plot of ICC vs one variable, ICC on y-axis. |
| icc.simulation.3D.scatter.plot | Creates a scatter plot of ICC vs two other variables, ICC on... |
| icc.simulation.scatter.plot | Creates a scatter plot of ICC vs one or two variables, ICC on... |
| perform.permutation.step | A function to perform a permutation step, so that the process... |
| permute.clusters.to.sequence | Permutes clusters to a sequence, using the permutation in... |
| remove.rows.with.no.comparison | Removes rows from periods/clusters that do not have... |
| test.f.effect.dt | Do a difference in means test on a data.table, as outlined in... |
| test.wilcox.dt | Do a wilcox test on a data.table. More efficient that coin... |
| update.progress.bar | Update a progress bar. |
