synMicrodata (version 2.1.3)

plot.synMicro_object: Plot Comparing Synthetic Data with Original Input Data

Description

The plot method for synMicro_object object. This method compares synthetic datasets with original input data.

Usage

# S3 method for synMicro_object
plot(x, vars, plot_num = NULL, ...)

Arguments

x

synMicro_object object.

vars

vector of names or indices of the variables to compare.

plot_num

if plot_num is a number, returns a plot of the corresponding synthetic datset.

...

other parameters to be passed through to plotting functions.

Details

The plot takes input variables and draws the graph. The type of graph produced is contingent upon the number of categories in selected variables.

• Putting a continuous variable produces a box plot of the selected variable.

• Putting more than two continuous variables produces pairwise scatter plots for each pair of selected variables.

• Putting categorical variables produce bar plot of each selected variable.

If plot_num=NULL, the function output plots for all generated synthetic datasets.

See Also

multipleSyn

Examples

## preparing to generate synthetic datsets
dat_obj <- readData(Y_input = iris[,1:4],
                    X_input = data.frame(Species = iris[,5]))
mod_obj <- createModel(dat_obj, max_R_S_K=c(30,50,20))

## generating synthetic datasets
res_obj <- multipleSyn(dat_obj, mod_obj, n_burnin = 100, m = 2, 
                       interval_btw_Syn = 50, show_iter = FALSE)

print(res_obj)

## plotting synthesis datasets
### box plot
par(mfrow=c(3,2))
plot(res_obj, vars = "Sepal.Length") ## variable names


### pairwise scatter plot
plot(res_obj, vars = c(1,2)) ## or variable index


### bar plot
plot(res_obj, vars = "Species")


### specify the synthetic dattaset
par(mfrow=c(1,1))
plot(res_obj, vars = "Petal.Length", plot_num=1)