I implemented the second as well. It was much easier to create a function to automate this as well as assign the results to a single data.frame

Shawn Way, PE

-----Original Message-----

From: Jeff Newmiller [mailto:

[hidden email]]

Sent: Tuesday, March 21, 2017 5:40 PM

To:

[hidden email]; Shawn Way <

[hidden email]>; Enrico Schumann <

[hidden email]>

Cc:

[hidden email]
Subject: Re: [R] Data and Variables from Tables

He offered two solutions, and I want to second the vote against the first one.

I often put large numbers of configuration variables in a few CSV files organized by topic area and read them in. The resulting data frames are capable of holding multiple cases if desired and I just specify which case (row) I am interested in using and pass around 1-row data frames to the computation functions.

--

Sent from my phone. Please excuse my brevity.

On March 21, 2017 3:18:38 PM PDT, Shawn Way <

[hidden email]> wrote:

>That worked perfectly!

>

>This makes using a large number of values for programming and their

>documentation significantly easier.

>

>Thank you

>

>Shawn Way, PE

>

>-----Original Message-----

>From: Enrico Schumann [mailto:

[hidden email]]

>Sent: Tuesday, March 21, 2017 4:40 PM

>To: Shawn Way <

[hidden email]>

>Cc:

[hidden email]
>Subject: Re: [R] Data and Variables from Tables

>

>On Tue, 21 Mar 2017, Shawn Way writes:

>

>> I have an org-mode table with the following structure that I am

>> pulling into an R data.frame, using the sfsmisc package and using

>> xtable to print in org-mode

>>

>> | Symbol | Value | Units |

>> |----------+-------+-------------------|

>> | A | 1 | kg/hr |

>> | \beta | 2 | \frac{m^3}{hr} |

>> | G | .25 | in |

>>

>> This all works well and looks great.

>>

>> What I am trying to do is use this to generate variables for

>> programming as well. For example, when processed I would have the

>> following variables:

>>

>> A <- 1

>> beta <- 2

>> G <- .25

>>

>> Has anyone done something like this or can someone point me in the

>> right direction to do this?

>>

>> Shawn Way

>>

>

>You may be looking for ?assign.

>

> df <- data.frame(Symbol = c("A", "\\beta", "G"),

> Value = c( 1, 2, 0.25))

>

> ## remove backslashes

> df[["Symbol"]] <- gsub("\\", "", df[["Symbol"]], fixed = TRUE)

>

> for (i in seq_len(nrow(df)))

> assign(df[i, "Symbol"], df[i, "Value"])

>

>But depending on what you want to do, it may be cleaner/safer to keep

>the variables from the table together in a list.

>

> tbl <- as.list(df[["Value"]])

> names(tbl) <- df[["Symbol"]]

>

> ## $A

> ## [1] 1

> ##

> ## $beta

> ## [1] 2

> ##

> ## $G

> ## [1] 0.25

>

>

>--

>Enrico Schumann

>Lucerne, Switzerland

>

http://enricoschumann.net>

>______________________________________________

>

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

>

https://stat.ethz.ch/mailman/listinfo/r-help>PLEASE do read the posting guide

>

http://www.R-project.org/posting-guide.html>and provide commented, minimal, self-contained, reproducible code.

______________________________________________

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.