inline R_adjacency_list(SEXP num_verts_in,
SEXP num_edges_in,
SEXP R_edges_in,
SEXP R_weights_in)
: Base(Rf_asInteger(num_verts_in))
{
if (!Rf_isNumeric(R_weights_in)) error("R_weights_in should be Numeric");
if (!Rf_isInteger(R_edges_in)) error("R_edges_in should be integer");
int NE = Rf_asInteger(num_edges_in);
int* edges_in = INTEGER(R_edges_in);
if (Rf_isReal(R_weights_in)) {
if (boost::is_integral<R_weight_type>::value)
error("R_weights_in should be integer");
else {
double* weights_in = REAL(R_weights_in);
for (int i = 0; i < NE ; i++, edges_in += 2, weights_in++) {
boost::add_edge(*edges_in, *(edges_in+1),
*weights_in, *this);
}
}
} else {
int* weights_in = INTEGER(R_weights_in);
for (int i = 0; i < NE ; i++, edges_in += 2, weights_in++) {
boost::add_edge(*edges_in, *(edges_in+1), *weights_in, *this);
}
}
}
RcppDatetime RcppParams::getDatetimeValue(std::string name) {
std::map<std::string,int>::iterator iter = pmap.find(name);
if (iter == pmap.end()) {
std::string mesg = "RcppParams::getDatetimeValue: no such name: ";
throw std::range_error(mesg+name);
}
int posn = iter->second;
SEXP elt = VECTOR_ELT(_params, posn);
if (!Rf_isNumeric(elt) || Rf_length(elt) != 1) {
std::string mesg = "RcppParams::getDateValue: invalide date: ";
throw std::range_error(mesg+name);
}
double d;
if (Rf_isReal(elt)) // R stores POSIXt as a double
d = REAL(elt)[0];
else {
std::string mesg = "RcppParams::getDatetimeValue: invalid value for: ";
throw std::range_error(mesg+name);
}
return RcppDatetime(d);
}
int RcppParams::getIntValue(std::string name) {
std::map<std::string,int>::iterator iter = pmap.find(name);
if (iter == pmap.end()) {
std::string mesg = "RcppParams::getIntValue: no such name: ";
throw std::range_error(mesg+name);
}
int posn = iter->second;
SEXP elt = VECTOR_ELT(_params,posn);
if (!Rf_isNumeric(elt) || Rf_length(elt) != 1) {
std::string mesg = "RcppParams::getIntValue: must be scalar: ";
throw std::range_error(mesg+name);
}
if (Rf_isInteger(elt))
return INTEGER(elt)[0];
else if (Rf_isReal(elt))
return (int)REAL(elt)[0];
else {
std::string mesg = "RcppParams::getIntValue: invalid value for: ";
throw std::range_error(mesg+name);
}
return 0; // never get here
}
void ifaGroup::import(SEXP Rlist)
{
SEXP argNames;
Rf_protect(argNames = Rf_getAttrib(Rlist, R_NamesSymbol));
if (Rf_length(Rlist) != Rf_length(argNames)) {
mxThrow("All list elements must be named");
}
std::vector<const char *> dataColNames;
paramRows = -1;
int pmatCols=-1;
int mips = 1;
int dataRows = 0;
SEXP Rmean=0, Rcov=0;
for (int ax=0; ax < Rf_length(Rlist); ++ax) {
const char *key = R_CHAR(STRING_ELT(argNames, ax));
SEXP slotValue = VECTOR_ELT(Rlist, ax);
if (strEQ(key, "spec")) {
importSpec(slotValue);
} else if (strEQ(key, "param")) {
if (!Rf_isReal(slotValue)) mxThrow("'param' must be a numeric matrix of item parameters");
param = REAL(slotValue);
getMatrixDims(slotValue, ¶mRows, &pmatCols);
SEXP dimnames;
Rf_protect(dimnames = Rf_getAttrib(slotValue, R_DimNamesSymbol));
if (!Rf_isNull(dimnames) && Rf_length(dimnames) == 2) {
SEXP names;
Rf_protect(names = VECTOR_ELT(dimnames, 0));
int nlen = Rf_length(names);
factorNames.resize(nlen);
for (int nx=0; nx < nlen; ++nx) {
factorNames[nx] = CHAR(STRING_ELT(names, nx));
}
Rf_protect(names = VECTOR_ELT(dimnames, 1));
nlen = Rf_length(names);
itemNames.resize(nlen);
for (int nx=0; nx < nlen; ++nx) {
itemNames[nx] = CHAR(STRING_ELT(names, nx));
}
}
} else if (strEQ(key, "mean")) {
Rmean = slotValue;
if (!Rf_isReal(slotValue)) mxThrow("'mean' must be a numeric vector or matrix");
mean = REAL(slotValue);
} else if (strEQ(key, "cov")) {
Rcov = slotValue;
if (!Rf_isReal(slotValue)) mxThrow("'cov' must be a numeric matrix");
cov = REAL(slotValue);
} else if (strEQ(key, "data")) {
Rdata = slotValue;
dataRows = Rf_length(VECTOR_ELT(Rdata, 0));
SEXP names;
Rf_protect(names = Rf_getAttrib(Rdata, R_NamesSymbol));
int nlen = Rf_length(names);
dataColNames.reserve(nlen);
for (int nx=0; nx < nlen; ++nx) {
dataColNames.push_back(CHAR(STRING_ELT(names, nx)));
}
Rf_protect(dataRowNames = Rf_getAttrib(Rdata, R_RowNamesSymbol));
} else if (strEQ(key, "weightColumn")) {
if (Rf_length(slotValue) != 1) {
mxThrow("You can only have one %s", key);
}
weightColumnName = CHAR(STRING_ELT(slotValue, 0));
} else if (strEQ(key, "freqColumn")) {
if (Rf_length(slotValue) != 1) {
mxThrow("You can only have one %s", key);
}
freqColumnName = CHAR(STRING_ELT(slotValue, 0));
} else if (strEQ(key, "qwidth")) {
qwidth = Rf_asReal(slotValue);
} else if (strEQ(key, "qpoints")) {
qpoints = Rf_asInteger(slotValue);
} else if (strEQ(key, "minItemsPerScore")) {
mips = Rf_asInteger(slotValue);
} else {
// ignore
}
}
learnMaxAbilities();
if (itemDims < (int) factorNames.size())
factorNames.resize(itemDims);
if (int(factorNames.size()) < itemDims) {
factorNames.reserve(itemDims);
const int SMALLBUF = 24;
char buf[SMALLBUF];
while (int(factorNames.size()) < itemDims) {
snprintf(buf, SMALLBUF, "s%d", int(factorNames.size()) + 1);
factorNames.push_back(CHAR(Rf_mkChar(buf)));
}
}
if (Rmean) {
if (Rf_isMatrix(Rmean)) {
int nrow, ncol;
getMatrixDims(Rmean, &nrow, &ncol);
if (!(nrow * ncol == itemDims && (nrow==1 || ncol==1))) {
mxThrow("mean must be a column or row matrix of length %d", itemDims);
}
} else {
if (Rf_length(Rmean) != itemDims) {
mxThrow("mean must be a vector of length %d", itemDims);
}
}
verifyFactorNames(Rmean, "mean");
}
if (Rcov) {
if (Rf_isMatrix(Rcov)) {
int nrow, ncol;
getMatrixDims(Rcov, &nrow, &ncol);
if (nrow != itemDims || ncol != itemDims) {
mxThrow("cov must be %dx%d matrix", itemDims, itemDims);
}
} else {
if (Rf_length(Rcov) != 1) {
mxThrow("cov must be %dx%d matrix", itemDims, itemDims);
}
}
verifyFactorNames(Rcov, "cov");
}
setLatentDistribution(mean, cov);
setMinItemsPerScore(mips);
if (numItems() != pmatCols) {
mxThrow("item matrix implies %d items but spec is length %d",
pmatCols, numItems());
}
if (Rdata) {
if (itemNames.size() == 0) mxThrow("Item matrix must have colnames");
for (int ix=0; ix < numItems(); ++ix) {
bool found=false;
for (int dc=0; dc < int(dataColNames.size()); ++dc) {
if (strEQ(itemNames[ix], dataColNames[dc])) {
SEXP col = VECTOR_ELT(Rdata, dc);
if (!Rf_isFactor(col)) {
if (TYPEOF(col) == INTSXP) {
mxThrow("Column '%s' is an integer but "
"not an ordered factor",
dataColNames[dc]);
} else {
mxThrow("Column '%s' is of type %s; expecting an "
"ordered factor (integer)",
dataColNames[dc], Rf_type2char(TYPEOF(col)));
}
}
dataColumns.push_back(INTEGER(col));
found=true;
break;
}
}
if (!found) {
mxThrow("Cannot find item '%s' in data", itemNames[ix]);
}
}
if (weightColumnName) {
for (int dc=0; dc < int(dataColNames.size()); ++dc) {
if (strEQ(weightColumnName, dataColNames[dc])) {
SEXP col = VECTOR_ELT(Rdata, dc);
if (TYPEOF(col) != REALSXP) {
mxThrow("Column '%s' is of type %s; expecting type numeric (double)",
dataColNames[dc], Rf_type2char(TYPEOF(col)));
}
rowWeight = REAL(col);
break;
}
}
if (!rowWeight) {
mxThrow("Cannot find weight column '%s'", weightColumnName);
}
}
if (freqColumnName) {
for (int dc=0; dc < int(dataColNames.size()); ++dc) {
if (strEQ(freqColumnName, dataColNames[dc])) {
SEXP col = VECTOR_ELT(Rdata, dc);
if (TYPEOF(col) != INTSXP) {
mxThrow("Column '%s' is of type %s; expecting type integer",
dataColNames[dc], Rf_type2char(TYPEOF(col)));
}
rowFreq = INTEGER(col);
break;
}
}
if (!rowFreq) {
mxThrow("Cannot find frequency column '%s'", freqColumnName);
}
}
rowMap.reserve(dataRows);
for (int rx=0; rx < dataRows; ++rx) rowMap.push_back(rx);
}
Eigen::Map< Eigen::ArrayXXd > Eparam(param, paramRows, numItems());
Eigen::Map< Eigen::VectorXd > meanVec(mean, itemDims);
Eigen::Map< Eigen::MatrixXd > covMat(cov, itemDims, itemDims);
quad.setStructure(qwidth, qpoints, Eparam, meanVec, covMat);
if (paramRows < impliedParamRows) {
mxThrow("At least %d rows are required in the item parameter matrix, only %d found",
impliedParamRows, paramRows);
}
quad.refresh(meanVec, covMat);
}