By Felli V.
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Extra info for A note on the existence of H-bubbles via perturbation methods
3. Apply this function in the iris3 dataset using a for loop. 4. Apply the same function using the apply() function of the plyr package. summary(sub_data) all_stats[[i]] <- all_stat_species } # class of the output object class(all_stats)  "list" all_stats [] Sepal Sepal Petal Petal L. W. L. W. 1053856 L. W. L. W. 4 L. W. L. W. summary) class(all_stats)  "list" all_stats $'1' Sepal Sepal Petal Petal L. W. L. W. 1053856 L. W. L. W. 1977527 L. W. L. W. 2746501 $'2' Sepal Sepal Petal Petal $'3' Sepal Sepal Petal Petal attr(,"split_type")  "array" attr(,"split_labels") X1 1 Setosa 2 Versicolor 3 Virginica [ 51 ] Data Manipulation Using plyr Multiargument functions Sometimes, we have to deal with functions that take multiple arguments, and the values of each argument can come from a data frame, a list, or an array.
The rules of splitting can be described shortly as follows: • Arrays are sliced by dimension into lower dimensional pieces, and the corresponding common function is a*ply(), where the array is the common input and the output can be one among an array, data frame, or list. • Data frames are sliced and subset by a combination of variables from that dataset. The corresponding common function is d*ply(), where the data frame is the common input and the output can be one among an array, data frame, or list.
The columns represent variables in the data and the rows represent observations or records. In other software, such as a database package, each column represents a field and each row represents a record. Dealing with data does not mean dealing with only one vector or factor variable, rather it is the collection of variables. Each column represents only one type of data: numeric, character, or logical, and each row represents case information across all columns. One important thing to remember about R data frames is that all vectors should be of the same length.