Use tidyr in a sentence

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Tidyr

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"Tidyr" in Example Sentences

1. Must use quotation marks to differentiate from variables and constants and functions. tidyr, reshape2, ggplot2, vegan, pheatmap, mvabund, ggmap for making simple maps Can be written in a sentence, also with coefficient values, standard errors, p-values for each explanatory variable.
2. The use of かります in a sentence Meaning of 'lose their grip on the groins of their followers' 2. This is a useful time to use tidyr’s separate(), which splits a column into multiple based on a delimiter. 10. What is igneous rock use in a sentence? 14 rock groins were built using large blocks of hard, mainly igneous, rock. Igneous rock
3. This is a useful time to use tidyr’s separate(), which splits a column into multiple columns based on a delimiter. This lets us separate it into two columns, “word1” and “word2,” at which point we can remove cases where either is a stop word.
4. This is a useful time to use tidyr's `separate()`, which splits a column into multiple based on a delimiter. This lets us separate it into two columns, "word1" and "word2", at which point we can remove cases where either is a stop-word.
5. Answer these 40 questions to test your skill level on R, dataframes ("I can use because thrice in a sentence because because is a special word.") A) gsub(“because”,”since”,A) B) sub(“because”,”since”,A Spread command converts rows into columns whereas there is no collect command in tidyr or base package.
6. “tidytable started as a complement to the dtplyr package since dtplyr is missing some of dplyr’s functionality and doesn’t cover any tidyr functions. However translations of dplyr’s core verbs (mutate, arrange, etc.) are now included in tidytable to allow the user access to all functions in one place.
7. The Life-Changing Magic of Tidying Text. Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like dplyr, broom, tidyr and ggplot2.In this package, we provide functions and supporting data sets to allow conversion of

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