Promoting the use of R in the NHS

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(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers)


    1. Programming


    1. Correlation
    2. Data Visualisation
    3. R Programming

    In this article, you learn how to make Automated Dashboard with various correlation visualizations in R. First you need to install the `rmarkdown` package into your R library. Assuming that you installed the `rmarkdown`, next you create a new `rmarkdown` script in R.

    After this you type the following code in order to create a dashboard with rmarkdown and flexdashboard:

    title: "Dashboard visualizations in R: Scatter plots"
    author: "Kristian Larsen"
        orientation: rows
        vertical_layout: scroll
    ```{r setup, include=FALSE}
    # install.packages("ggplot2")
    # load package and data
    options(scipen=999)  # turn-off scientific notation like 1e+48
    theme_set(theme_bw())  # pre-set the bw theme.
    data("midwest", package = "ggplot2")
    midwest  27, ]


    The result of the above coding are published with RPubs here.


    1. Using flexdashboard in R

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