# Large data tables missing?

**URL:** <https://forum.knime.com/t/large-data-tables-missing/13108>\
**Category:** KNIME Analytics Platform\
**Created:** [January 8, 2019, 5:00pm UTC](https://forum.knime.com/t/large-data-tables-missing/13108 "2019-01-08T17:00:18Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [January 10, 2019, 10:03am UTC](https://forum.knime.com/t/large-data-tables-missing/13108/6 "2019-01-10T10:03:56Z")

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> [@kolster](#):
>
> Thank you for the quick reply. Where can I find the R Library Reader you mention? Does that require additional extentions?

You will have to install the R extensions

> [@Importing R Code in Knime](https://forum.knime.com/t/importing-r-code-in-knime/11260/3):
>
> There are two basic possibilities to use R with KNIME you have a R version on your computer and you point KNIME to it (“KNIME Interactive R Statistics Integration”) KNIME provides you with an ‘integrated’ R package that sits somewhere deep in the KNIME folders (“KNIME R Statistics Integration (Windows Binaries)”) I would advise to use the first option. So first to proper install R (and maybe RStudio to have an easier handling) and then point KNIME to it. There are further R integrations but t…

Then you would have to add the readr package:

> **[readr: Read Rectangular Text Data](https://cran.r-project.org/web/packages/readr/index.html)**
>
> The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.

I recommend also to install RStudio which makes it easier to handle package management.

> **[Posit](https://posit.co/download/rstudio-desktop/)**

Yes setting up R with KNIME needs some work but in the end you will have a very useful extension of functions.

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