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arrange(), which is used to sort rows in a dataframe based on attributes held by particular columns; mutate(), which is used to create new variables, by altering and/or combining values from existing columns; and; summarize(), also spelled summarise(), which is used to collapse values from a dataframe into a single summary.
To perform row reduction on a matrix, one uses a sequence of elementary row operations to modify the matrix until the lower left-hand corner of the matrix is filled with zeros, as much as possible. There are three types of elementary row operations: Swapping two rows, Multiplying a row by a nonzero number, Adding a multiple of one row to ...
A researcher is hoping to model income (dependent variable) based on age and gender (independent variables). Using listwise deletion, the researcher would remove subjects 3, 4, and 8 from the sample before performing any further analysis.
In SQL procedures, a cursor makes it possible to define a result set (a set of data rows) and perform complex logic on a row by row basis. By using the same mechanics, a SQL procedure can also define a result set and return it directly to the caller of the SQL procedure or to a client application.
One aim is to test the null hypothesis that the true correlation coefficient ρ is equal to 0, based on the value of the sample correlation coefficient r. The other aim is to derive a confidence interval that, on repeated sampling, has a given probability of containing ρ. Methods of achieving one or both of these aims are discussed below.
Previous Page: sort the data in the reverse order, select only the first {rows} rows, where the {unique_key} is less than {first_val} (the value of the {unique_key} of the first row in the current page), and sort the result in the correct order; Read and send to display all the rows read from the database
One may wish to compute several values of ^ from several samples, and average them, to calculate an empirical approximation of [^], but this is impossible when there are no "other samples" when the entire set of available observations ,..., was used to calculate ^. In this kind of situation the jackknife resampling technique may be of help.
Row labels are used to apply a filter to one or more rows that have to be shown in the pivot table. For instance, if the "Salesperson" field is dragged on this area then the other output table constructed will have values from the column "Salesperson", i.e., one will have a number of rows equal to the number of "Sales Person". There will also ...