Replace some numeric value after a pattern in a string of txt in R (grep?) -

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i have several txt files input file model, need change of model parameters in order conduct experiments. however, there many parameters , changing them hand time consuming. thought using readlines() , {grep} in r search , replace parameter values not successful, hope me. thank you.

the file has lines this:

bubbling pressure 1          = 0.3389 .4423 .4118 field capacity 1             = 0.35  0.38  0.37 wilting point 1              = 0.13  0.14  0.13 bulk density 1               = 750. 1400. 1500. vertical conductivity 1      = 2.904e-06  3.63e-05  3.63e-05  .....  bubbling pressure 3          = 0.2044 0.2876 0.2876 field capacity 3             = 0.31  0.33  0.33 wilting point 3              = 0.13  0.14  0.14 bulk density 3               = 750. 1400. 1500. vertical conductivity 3      = 3.16e-06  3.95e-05  3.95e-05  ...

i want double vertical conductivity parameters...but not sure how isolate numbers in scientific notation (such "3.16e-06").

is there way isolate each 1 of number in lines contain pattern "vertical conductivity"

vertical conductivity 3      = 3.16e-06  3.95e-05  3.95e-05

and double each 1 of numbers?

vertical conductivity 3      = 6.32e-06  7.90e-05  7.90e-05

i have manage use grep isolate each line of text contains pattern "vertical conductivity" not sure how numerical values out...

thanks, nick

we can gsubfn without changing original structure , modify op may or may not wanted.

here, reading dataset using readlines, index of 'lines' has 'vertical conductivity' substring grepl ('i1'). then, use gsubfn replace values double of that.

library(gsubfn) i1 <- grepl("vertical conductivity", lines) lines[i1] <- gsubfn("[0-9.]+e[-+][0-9]+", ~format(as.numeric(x)*2,                                             scientific = true), lines[i1])  lines #[1] "bubbling pressure 1          = 0.3389 .4423 .4118"            #[2] "field capacity 1             = 0.35  0.38  0.37"              #[3] "wilting point 1              = 0.13  0.14  0.13"              #[4] "bulk density 1               = 750. 1400. 1500."              #[5] "vertical conductivity 1      = 5.808e-06  7.26e-05  7.26e-05" #[6] "bubbling pressure 3          = 0.2044 0.2876 0.2876"          #[7] "field capacity 3             = 0.31  0.33  0.33"              #[8] "wilting point 3              = 0.13  0.14  0.14"              #[9] "bulk density 3               = 750. 1400. 1500."              #[10] "vertical conductivity 3      = 6.32e-06  7.9e-05  7.9e-05"

data

lines <- trimws(readlines(textconnection(           'bubbling pressure 1          = 0.3389 .4423 .4118            field capacity 1             = 0.35  0.38  0.37            wilting point 1              = 0.13  0.14  0.13            bulk density 1               = 750. 1400. 1500.            vertical conductivity 1      = 2.904e-06  3.63e-05  3.63e-05            bubbling pressure 3          = 0.2044 0.2876 0.2876            field capacity 3             = 0.31  0.33  0.33            wilting point 3              = 0.13  0.14  0.14            bulk density 3               = 750. 1400. 1500.            vertical conductivity 3      = 3.16e-06  3.95e-05  3.95e-05')))

we can directly read file

lines <- readlines("yourfile.txt")

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