rfunctions = open('out.txt',mode='r')
functions = []
for line in rfunctions.readlines():
functions.extend(line.split(','))
print(len(functions))
rout = open('D://r.functions.templetes.xml','w')
rfuns = open('D://r.fun.txt','w')
rout.write('''<?xml version="1.0" encoding="UTF-8" standalone="no"?><templates>''')
rout.write('\n')
for fun in functions:
if len(fun)<3 :continue#太短了
if fun[0] in ('!','$','.','-','%','&','*','[','+','<','|',':','/','@','<','>') :continue#生成的函数可能以这些开头，过滤掉
if fun.count('<')>0:continue#非法字符，xml中解析可能出错
strFunc = "<template autoinsert=\"true\" context=\"r-code\" deleted=\"false\" description=\""+str(fun)+" http://www.tanglei.name,You can modify this sentence by replacing them in the templetes.xml\" enabled=\"true\" name=\""+str(fun)+"\">"+str(fun)+"</template>\n"
rout.write(strFunc)
rfuns.write(fun)
rfuns.write('\n')
rout.write('''</templates>''')
print('done')
R语言数据分析代码.zip
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2024-01-12
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R语言数据分析代码.zip （90个子文件） 
48941918 
predictionStatic_v_1_1.r 5KB predJoin_v_0_2.r 7KB comp.sh 129B holidayStatic20140501_0503.r 4KB predJoin.r 4KB demo.r 3KB logisticMethChoice_v_0_5.r 16KB filter_2015_6_10.R 922B logisticMethChoice_predict.r 13KB holiday_20150517.r 14KB fill_zhuanbian_summary.R 3KB holiday_static.r 3KB per_point_cluster.R 3KB check_taiqu_5_27.R 3KB holiday_2015_6_9.R 12KB .RData 505KB loadDataIn20131217.r 961B findOutlier.r 2KB .gitattributes 378B logisticMethChoice_v_0_2.r 10KB db_connect(1).R 875B mode_coeff.R 1KB treeTrain.r 919B holidayStatic20140501_0503_v_0_2.r 4KB holiday_beta_v_0_1.r 14KB logisticMethChoice_v_0_6.r 18KB holiday_2015_6_9_copy(2).r 14KB logisticMethChoice_v_0_3.r 14KB miss_about_zhuanbian.R 991B per_taiqu_plot.R 10KB treeTrainC45.r 627B predJoin_v_0_6.r 10KB holiday_beta_v_0_2.r 14KB holiday20150516.r 13KB holidayStatic20140501_0503new.r 4KB predJoin_v_0_3.r 10KB predictionStatic_v_1_0.r 4KB holiday_beta_v_0_6.r 19KB holiday.r 5KB global.R 151B holiday_run.r 1KB getfun.py 965B predJoin_v_0_4.r 10KB test.R 436B test20150707.R 301B logisticMethChoice_v_0_1.r 8KB predJoin_v_0_5_test.r 10KB logisticMethChoice_v_1_1.r 25KB miss_plot_2015_16.r 4KB data_check.R 5KB weather_data_in_db.R 1KB predictionStatic_v_0_1.r 3KB per_monday.R 2KB holiday_beta_v_0_4.r 17KB holiday_beta_v_0_10.r 22KB holiday_beta_v_0_9.r 22KB model_reduce.r 1011B holiday_beta_v_0_3.r 17KB predictionStatic_v_0_2.r 3KB creat_zhuanbian_summary.R 499B .gitignore 574B predJoin_v_0_1.r 4KB predictionStatic_v_1_2.r 6KB hcluster.R 2KB tmp.r 2KB logisticMethChoice_v_1_0.r 19KB demo-2.R 450B single_show.R 928B logisticMethChoice_v_0_4.r 18KB demo_1.R 300B predictionStatic_v_1_3.r 2KB month_plot.R 2KB loadData simiExtend.csv 529KB cycleMulti.csv 540KB loadModule2.csv 532KB wthCycle.csv 530KB extendOut.csv 529KB loadMulti.csv 530KB loadModule1.csv 532KB cycleBase.csv 539KB model_simp.R 187B holiday_beta_v_0_7.r 18KB .Rhistory 10KB temp_burden.R 5KB cluster_taiqu.R 2KB weekdayPloat20150625_v_0_1.r 7KB holiday_beta_v_0_8.r 22KB holidayStatic20140908.r 3KB predJoin_v_0_5.r 10KB temp_v_0_1.r 7KB资源评论
