All functions |
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Append samples from multiple SummarizedExperiment objects |
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Coerce lists, matrices, and more to data frames |
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Efficiently bind multiple data frames by row and column |
Count the observations in each group |
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Keep distinct/unique rows |
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Extract a character column into multiple columns using regular expression groups |
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Keep rows that match a condition |
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Mutating joins |
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Create a new |
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Group by one or more variables |
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Split data frame by groups |
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Mutating joins |
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Mutating joins |
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Create, modify, and delete columns |
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Nest rows into a list-column of data frames |
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Read counts of RNA-seq samples of Pasilla knock-down by Brooks et al. |
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Pivot data from wide to long |
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Pivot data from long to wide |
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Initiate a plotly visualization |
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Extract a single column |
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Rename columns |
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Mutating joins |
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Group input by rows |
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Sample n rows from a table |
Read counts of RNA-seq samples derived from Pasilla knock-down by Brooks et al. |
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Keep or drop columns using their names and types |
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Separate a character column into multiple columns with a regular expression or numeric locations |
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Subset rows using their positions |
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Summarise each group down to one row |
tidy for |
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Unite multiple columns into one by pasting strings together |
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Unnest a list-column of data frames into rows and columns |