I interpret you are looking for an AND
condition. Then I would use:
file.ls <- grep(pattern = "(?=.*20130801)(?=.*USD)", x = list.files(path = '~/DATA/PiP/Curvas/'), value = TRUE, perl = TRUE)
I use this command to return .tex
files that I have tagged with the +
sign (a sort of primitive tagging system). For instance, to find files that are tagged as +neuralnet
, and +style
, and +set
, I use:
grep("(?=.*\\+style)(?=.*\\+neuralnet)(?=.*\\+set)", list.files("./src", pattern = "*.tex$", full.names = TRUE), value = TRUE, perl = TRUE)
where (?=)
is the positive look ahead, and \\+
is used to escape the +
sign, which is the character I use for tagging the files. You may add as many (?=...)
as AND conditions as you need.
My .tex
files are Latex TikZ
files. This is a partial list:
[1] "./src/block_diagram-multilayer_perceptron+neuralnet+style+learn.tex"
[2] "./src/block_diagram-perceptron+neuralnet+set+learn.tex"
[3] "./src/discriminator+neuralnet+matrix+foreach+style.tex"
[4] "./src/foreach-neural_network-1h+neuralnet.tex"
[5] "./src/generative_adversarial_network_manual_net+neuralnet.tex"
[6] "./src/generator+neuralnet+matrix.tex"
[7] "./src/hopfield_auto_net+neuralnet+foreach+scope+learn+style+command.tex"
[8] "./src/ml_1h_manual_net+neuralnet+style+matrix+foreach.tex"
[9] "./src/ml_2h_manual_net-color+neuralnet+set+foreach.tex"
[10] "./src/ml_a3c_manual_net_arr+neuralnet.tex"
[11] "./src/ml_auto_net_arr+neuralnet+foreach+style+foreach.tex"
[12] "./src/ml-auto_net_4h_arr+neuralnet+matrix+foreach+style+scope.tex"
[13] "./src/ml-auto_net_bias_arr+neuralnet+learn+foreach+def+command+ifnum+style.tex"
[14] "./src/ml-auto_net_color+neuralnet+foreach.tex"
[15] "./src/ml-auto_net_icon+neuralnet+style+foreach+set+function+learn.tex"
[16] "./src/ml-SVM_manual+neuralnet.tex"
[17] "./src/nn-01-2_summarized+neuralnet+style+learn.tex"
[18] "./src/nn-02_auto_net+neuralnet+foreach+pgf+style+learn.tex"
[19] "./src/nn-03_auto_net+neuralnet+foreach+style+learn.tex"
[20] "./src/nn-04_auto_net+neuralnet+matrix+style+foreach.tex"
[21] "./src/nn-05_auto_net_arr+neuralnet+style+foreach+learn.tex"
[22] "./src/nn-06_manual_net_color+neuralnet+foreach+style.tex"
[23] "./src/nn-08-tkz-berge-01+neuralnet+scope+foreach+pkg.tex"
[24] "./src/nn-09_manual_net+neuralnet+foreach+scope.tex"
[25] "./src/stacked_blocks+neuralnet+3d+def+pgf+set+style.tex"
Then, by using grep
, with list.files
, and the regex positive look ahead (?=...)
, I get an effective way of selecting TikZ
files by purpose or activity I want to work on. The character +
works fine for tagging, in R and Linux. In Linux I use find
along with -and
and -regex
switches.