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
???
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
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:es at enricoschumann.net] Sent: Tuesday, March 21, 2017 4:40 PM To: Shawn Way <SWay at meco.com> Cc: r-help at r-project.org 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