mirror of
https://github.com/msberends/AMR.git
synced 2025-07-08 11:11:54 +02:00
fixes for microorganisms.codes
This commit is contained in:
@ -43,7 +43,7 @@ As said, SPSS is easier to learn than R. But SPSS, SAS and Stata come with major
|
||||
|
||||
* **R can be easily automated.**
|
||||
|
||||
Over the last years, [R Markdown](https://rmarkdown.rstudio.com/) has really made an interesting development. With R Markdown, you can very easily reproduce your reports, whether it's to Word, Powerpoint, a website, a PDF document or just the raw data to Excel. I use this a lot to generate monthly reports automatically. Just write the code once and enjoy the automatically updated reports at any interval you like.
|
||||
Over the last years, [R Markdown](https://rmarkdown.rstudio.com/) has really made an interesting development. With R Markdown, you can very easily produce reports, whether format has to be Word, PowerPoint, a website, a PDF document or just the raw data to Excel. It even allows the use of a reference file containing the layout style (e.g. fonts and colours) of your organisation. I use this a lot to generate weekly and monthly reports automatically. Just write the code once and enjoy the automatically updated reports at any interval you like.
|
||||
|
||||
For an even more professional environment, you could create [Shiny apps](https://shiny.rstudio.com/): live manipulation of data using a custom made website. The webdesign knowledge needed (JavaScript, CSS, HTML) is almost *zero*.
|
||||
|
||||
@ -53,9 +53,9 @@ As said, SPSS is easier to learn than R. But SPSS, SAS and Stata come with major
|
||||
|
||||
* **R understands any data type, including SPSS/SAS/Stata.**
|
||||
|
||||
And that's not vice versa I'm afraid. You can import data from any source into R. From SPSS, SAS and Stata ([link](https://haven.tidyverse.org/)), from Minitab, Epi Info and EpiData ([link](https://cran.r-project.org/package=foreign)), from Excel ([link](https://readxl.tidyverse.org/)), from flat files like CSV, TXT or TSV ([link](https://readr.tidyverse.org/)), or directly from databases and datawarehouses from anywhere on the world ([link](https://dbplyr.tidyverse.org/)). You can even scrape websites to download tables that are live on the internet ([link](https://github.com/hadley/rvest)).
|
||||
And that's not vice versa I'm afraid. You can import data from any source into R. From SPSS, SAS and Stata ([link](https://haven.tidyverse.org/)), from Minitab, Epi Info and EpiData ([link](https://cran.r-project.org/package=foreign)), from Excel ([link](https://readxl.tidyverse.org/)), from flat files like CSV, TXT or TSV ([link](https://readr.tidyverse.org/)), or directly from databases and datawarehouses from anywhere on the world ([link](https://dbplyr.tidyverse.org/)). You can even scrape websites to download tables that are live on the internet ([link](https://github.com/hadley/rvest)) or get the results of an API call ([link](https://github.com/Rdatatable/data.table/wiki/Convenience-features-of-fread)).
|
||||
|
||||
And the best part - you can export from R to most data formats as well. So you can import an SPSS file, do your analysis neatly in R and export the resulting tables to Excel files.
|
||||
And the best part - you can export from R to most data formats as well. So you can import an SPSS file, do your analysis neatly in R and export the resulting tables to Excel files for sharing.
|
||||
|
||||
* **R is completely free and open-source.**
|
||||
|
||||
|
Reference in New Issue
Block a user