2239 |
|
} |
2240 |
|
|
2241 |
|
rnemdFile_ << "#######################################################\n"; |
2242 |
< |
rnemdFile_ << "# Standard Deviations in those quantities follow:\n"; |
2242 |
> |
rnemdFile_ << "# 95% confidence intervals in those quantities follow:\n"; |
2243 |
|
rnemdFile_ << "#######################################################\n"; |
2244 |
|
|
2245 |
|
|
2248 |
|
for (unsigned int i = 0; i < outputMask_.size(); ++i) { |
2249 |
|
if (outputMask_[i]) { |
2250 |
|
if (data_[i].dataType == "RealType") |
2251 |
< |
writeRealStdDev(i,j); |
2251 |
> |
writeRealErrorBars(i,j); |
2252 |
|
else if (data_[i].dataType == "Vector3d") |
2253 |
< |
writeVectorStdDev(i,j); |
2253 |
> |
writeVectorErrorBars(i,j); |
2254 |
|
else { |
2255 |
|
sprintf( painCave.errMsg, |
2256 |
|
"RNEMD found an unknown data type for: %s ", |
2321 |
|
} |
2322 |
|
} |
2323 |
|
|
2324 |
< |
void RNEMD::writeRealStdDev(int index, unsigned int bin) { |
2324 |
> |
void RNEMD::writeRealErrorBars(int index, unsigned int bin) { |
2325 |
|
if (!doRNEMD_) return; |
2326 |
|
assert(index >=0 && index < ENDINDEX); |
2327 |
|
assert(int(bin) < nBins_); |
2331 |
|
count = data_[index].accumulator[bin]->count(); |
2332 |
|
if (count == 0) return; |
2333 |
|
|
2334 |
< |
dynamic_cast<Accumulator *>(data_[index].accumulator[bin])->getStdDev(s); |
2334 |
> |
dynamic_cast<Accumulator *>(data_[index].accumulator[bin])->get95percentConfidenceInterval(s); |
2335 |
|
|
2336 |
|
if (! isinf(s) && ! isnan(s)) { |
2337 |
|
rnemdFile_ << "\t" << s; |
2344 |
|
} |
2345 |
|
} |
2346 |
|
|
2347 |
< |
void RNEMD::writeVectorStdDev(int index, unsigned int bin) { |
2347 |
> |
void RNEMD::writeVectorErrorBars(int index, unsigned int bin) { |
2348 |
|
if (!doRNEMD_) return; |
2349 |
|
assert(index >=0 && index < ENDINDEX); |
2350 |
|
assert(int(bin) < nBins_); |
2354 |
|
count = data_[index].accumulator[bin]->count(); |
2355 |
|
if (count == 0) return; |
2356 |
|
|
2357 |
< |
dynamic_cast<VectorAccumulator*>(data_[index].accumulator[bin])->getStdDev(s); |
2357 |
> |
dynamic_cast<VectorAccumulator*>(data_[index].accumulator[bin])->get95percentConfidenceInterval(s); |
2358 |
|
if (isinf(s[0]) || isnan(s[0]) || |
2359 |
|
isinf(s[1]) || isnan(s[1]) || |
2360 |
|
isinf(s[2]) || isnan(s[2]) ) { |