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#Dataframe add a list as element code#

List where each bin contains a vector and we want to cbindģ.2.6 Operating on data frames TABLE 3.11: Common ways of operating on a data frame Function Using each each component as an argument. The do.call function applies a function to the entire list TABLE 3.5: Common ways of operating on a list FunctionĪpplies function to list and returns listĪpplies a function to the 1st bin of each argument, the 2nd, the 3rd, and so on. That sapply “simplifies” the final result, if possible. When we want to apply aįunction to each component (bin) of a list, we use the lapply Many operations we will want to do on lists. United States reported cases and deaths as of July 23, 2009īecause lists can have complex structural components, there are not.West Nile virus surveillance cases, California 2004.Myocardial infarction case-control study.Western Collaborative Group Study (cohort).A.3 Independence and conditional probability.14.1 Decision analysis with Bayesian networks.13.2 Epidemic modeling with social networks.13.1 Markov modeling of lifecourse events.

9 Displaying of epidemiologic data in R.

7.4.1 Cohort studies with binomial (risk or prevalence) data.

7.4 Epidemiologic analyses for stratified 2-by-2 tables.

7.3.1 Cohort studies with risk data or prevalence data.

7.3 Epidemiologic analyses for 2-by-2 tables.

5.7 Example: Bootstrap of risk ratio data.

5.3.2 Passing optional arguments using the.

4.11.6 Repetition > Concatenation > Alternation.

4.10.4 Exporting to non-R ASCII text and binary files.

4.10.1 Exporting to a generic ASCII text file.

4.9.2 Date functions in the chron and survival packages.

4.9.1 Date functions in the base package.

4.8.6 Working with finite, infinite, and NaN numbers.

4.8.5 Setting default NA behaviors in statistical models.

4.8.4 Viewing number of missing values in tables.4.8.3 Working with NA values in data frames and factors.4.8.2 Importing missing values with the read.table function.4.8.1 Testing, indexing, replacing, and recoding.4.8 Working with missing and “not available” values.4.7.2 The sink and capture.output functions.4.7 Executing commands from, and directing output to, a file.4.5.6 Conditionally transforming the elements of a vector.4.5.5 Use factors instead of dummy variables.4.5.4 Recoding factor levels (categorical variables).4.5.3 Creating categorical variables (factors).4.2.2 The data.entry, edit, or fix functions.3.3 Managing data objects and workspace.

3.2.1 Understanding data frames and factors.

3.2 A data frame is a list in a 2-dimensional tabular form.

3.1 A list is a collection of like or unlike data objects.

2.5.2 Causal graphs-the story behind the data.

2.5.1 Probabilistic reasoning with Bayesian networks.

2.4 An array is a n-dimensional table of like elements.

2.3 A matrix is a 2-dimensional table of like elements.

2.2.7 Converting vectors into factors (categorical variables).

2.2.5 Replacing vector elements (by indexing and assignment).

2.2 A vector is a collection of like elements.

2.1.2 Assessing the structure of data objects.

2.1.1 Atomic vs. recursive data objects.

2 Working with vectors, matrices, and arrays.

1.7.5 Is there anything else that I need?.

1.6.2 Does R have epidemiology programs?.

#Dataframe add a list as element code#

R code in a script file (not evaluated).