r - Function to evaluate columns with different names within a data frame -


i have data frame (total) so:

            id      pos  ori cont ma1 nma1 bda1 ma2 nma2 bda2 mb1 nmb1 bdb1 mb2          1: chrm      5   +  ccg   0    1    2   0    1    2   0    4    5   0          2: chrm      6   +  cgt   0    1    2   2    0    0   2    2    2   1          3: chrm      7   -  cgg   0    1    2   0    6    7   0    3    4   1          4: chrm     10   +  cga   0    2    3   2    1    2   2    3    2   1          5: chrm     11   -  cga   0    1    2   2    6    2   0    3    4   1         ---                                                                        164264: chrm 366914   +  caa   0    1    2   0    2    3   0    1    2   0     164265: chrm 366918   +  ccg   0    1    2   0    2    3   0    0    1   0     164266: chrm 366919   +  cgg   0    1    2   0    2    3   0    0    1   0     164267: chrm 366920   -  cgg   1    2    2   0    5    6   0    1    2   0     164268: chrm 366921   -  ccg   0    3    4   0    3    4   0    0    1   0             nmb2 bdb2          1:    5    6          2:    6    3          3:    3    2          4:    7    3          5:    8    3         ---               164264:    8    9     164265:    7    8     164266:    7    8     164267:    4    5     164268:    4    5

and want function evaluate couple of criteria. when doing 1 one used

total$crita <- as.numeric((total$ma1+total$nma1>=4)&(total$nma1>=bda1))

so 0 if true or 1 if false. i'd apply treatments (a1 (m, nm , bd), a2, a3, etc.)

i'm new r, , haven't figured out how bunch of stuff yet, appreciated. thanks!

i think this: (if share data dput i'd copy/paste , test... see here other tips on writing good, reproducible r questions.

add_crit = function(data, treatment) {     m_name = paste0("m", treatment)     nm_name = paste0("nm", treatment)     bd_name = paste0("bd", treatment)     crit_name = paste0("crit", treatment)      data[crit_name] = as.numeric(       (data[m_name] + data[nm_name] >= 4) & (data[nm_name] >= data[bd_name])     )     return(data) }  treatments = c("a1", "a2", "b1", "b2") data_with_crit = total  (trt in treatments) {     data_with_crit = add_crit(data_with_crit, trt) }

i build column names need strings paste. when have column names stored in variables, need use [ rather $, otherwise work well.

fortunes::fortune(343)

sooner or later r beginners bitten convenient shortcut. r newbie, think of r bank account: overuse of $-extraction can lead undesirable consequences. it's best acquire '[[' , '[' habit early. -- peter ehlers (about use of $-extraction) r-help (march 2013)

the other (more generalizable) way handle problem "melt" data long format - have single treatment column values a1, a2, ... , single columns m, nm, bd, crit. multiple rows per id (one row per treatment per id). lend data.table or dplyr solution. perhaps else post example.


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