string temp;
temp = validParameter.validFile(parameters, "precision", false); if (temp == "not found") { temp = "100"; }
precisionLength = temp.length();
- convert(temp, precision);
+ m->mothurConvert(temp, precision);
temp = validParameter.validFile(parameters, "cutoff", false); if (temp == "not found") { temp = "0.70"; }
- convert(temp, cutoff);
+ m->mothurConvert(temp, cutoff);
cutoff += (5 / (precision * 10.0));
method = validParameter.validFile(parameters, "method", false);
else { m->mothurOut("Not a valid clustering method. Valid clustering algorithms are furthest, nearest or average."); m->mothurOutEndLine(); abort = true; }
temp = validParameter.validFile(parameters, "length", false); if (temp == "not found") { temp = "5"; }
- convert(temp, length);
+ m->mothurConvert(temp, length);
temp = validParameter.validFile(parameters, "penalty", false); if (temp == "not found") { temp = "0.10"; }
- convert(temp, penalty);
+ m->mothurConvert(temp, penalty);
temp = validParameter.validFile(parameters, "min", false); if (temp == "not found") { temp = "true"; }
minWanted = m->isTrue(temp);