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Dplyr

Manufactured by Posit
Sourced in United States

Dplyr is a core package in the R programming language that provides a set of functions for data manipulation and transformation. The primary function of Dplyr is to enable efficient and expressive data manipulation by providing a concise and consistent syntax for common data manipulation tasks, such as selecting, filtering, grouping, and summarizing data.

Automatically generated - may contain errors

2 protocols using dplyr

1

Interactive Visualization of Research Protocols

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To interactively display these values, RStudio version 1.2.5019 and R version 3.6.1 were used after installation of the packages Shiny, Dplyr and Plotly (RStudio Inc., Boston, MA, USA; www.rstudio.com). Dplyr was used for data manipulation, Plotly for interactive graph development and Shiny for development of a user input-dependent and responsive interface. Next, HyperText Markup Language (HTML) and Cascading Style Sheets (CSS) were used to create a web layout. Finally, we hosted a Linux server with additional installation of the RStudio Shiny Server application. A web server was configured to make the application freely available to the public.
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2

Statistical Analysis of Omics Data

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Data were analysed using RStudio (RRID:SCR_000432), ggplot2 (RRID:SCR_014601), dplyr (RRID:SCR_016708), tidyverse (RRID:SCR_019186), ggrepel (RRID:SCR_017393), openxlsx (RRID:SCR_019185), ggthemes, ggsignif, gridExtra and Origin (RRID:SCR_014212) software. All datasets were tested for normality using the Shapiro–Wilkinson test. When a normal distribution was confirmed, a One-Way ANOVA test with a post hoc Tukey's HSD test was used for statistical comparison between multiple groups. For datasets that did not show normality, a Kruskal–Wallis test with a post hoc Dunn's test was applied. The asterisks in the figures correspond to the following p-values: *p < 0.05, **p < 0.01 and ***p < 0.001. Experiments were performed as biological triplicates on different clones and data with error bars are represented as mean ± standard deviation .
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