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Load packages in r
Load packages in r









load packages in r

  • TCPA-cell line focuses on the analysis of cell line samples and includes >1,000 CCLE samples and ~700 cell lines from the MD Anderson Cell Line project (MCLP, Li et al., Cancer Cell 2017 Ng et al., Cancer Cell 2018).
  • load packages in r

  • TCPA-patient focuses on the analysis and visualization of patient samples (Li et al., Nature Methods 2013) and includes ~8,000 TCGA samples and independent patient cohorts.
  • Currently, TCPA contains three independent analytic web platforms: We developed TCPA, a user-friendly web platform to analyze and visualize RPPA-based cancer functional proteomics data. This is despite proteins comprising the basic functional units in various biological processes and being major targets for many current cancer drugs. In contrast to the recent exploration of next-generation sequencing at both DNA and RNA levels, access to high-quality, large-scale proteomic data has been relatively limited in cancer research. The line above forces R to call the select() function from the dplyr package, regardless of the order in which the packages were loaded.T he Cancer Proteome Atlas (TCPA): a major bioinformatics resource for cancer proteomics data using reverse-phase protein arrays (RPPAs) dataset <- dplyr::select(dataset, name, age, occupation) Option 2: You can also explicitly tell R that you're interested in a function from a specific package.įor example, in the case of a clash between the select() function from dplyr and from other packages, you can tell R that you're interested in using the function from dplyr using the namespace syntax of double-colons:. NOTE: If you've loaded packages in the wrong order, then the easiest way to fix it is by restarting R and making sure you load them in the correct order the next time. The easiest way to avoid this problem is to make sure that dplyr is loaded last. We often see this when loading dplyr package as the function select() is also defined by other packages. Option 1: You can either load the packages in a specific order to ensure that the functions you're interested in are not masked. When masking occurs, you have two options: If two packages use the same function name, then the package loaded last will hide the function from earlier packages. There are some exceptions however, where we've to be careful about how we load packages.

    load packages in r

    In most cases R doesn't care about the order in which packages are loaded.

    load packages in r

    Panel Data, Time-Series Cross-Section Models T-test for Difference in Means and Hypothesis TestingĪssumptions and Violations of Assumptions











    Load packages in r