|
tatami_stats
Matrix statistics for tatami
|
Result buffers for skip_nan::group_rss().
More...
#include <group_rss.hpp>
Public Attributes | |
| std::vector< Output_ * > | mean |
| std::vector< Output_ * > | rss |
| std::vector< Count_ * > | count |
Result buffers for skip_nan::group_rss().
| Output_ | Floating-point type of the output data. This should be capable of storing NaNs. |
| Count_ | Numeric type of the non-NaN counts. This is typically an integer type. |
| std::vector<Output_*> tatami_stats::skip_nan::GroupRssBuffers< Output_, Count_ >::mean |
Vector of length equal to the number of groups. Each element is a pointer to an array of length equal to the appropriate dimension extent (rows for row = true, columns otherwise). After skip_nan::group_rss(), this is filled with the sample mean of each row/column for the corresponding group.
| std::vector<Output_*> tatami_stats::skip_nan::GroupRssBuffers< Output_, Count_ >::rss |
Vector of length equal to the number of groups. Each element is a pointer to an array of length equal to the appropriate dimension extent (rows for row = true, columns otherwise). After skip_nan::group_rss(), this is filled with the residual sum of squares of each row/column for the corresponding group.
| std::vector<Count_*> tatami_stats::skip_nan::GroupRssBuffers< Output_, Count_ >::count |
Vector of length equal to the number of groups. Each element is a pointer to an array of length equal to the appropriate dimension extent (rows for row = true, columns otherwise). After skip_nan::group_rss(), this is filled with the number of unskipped observations in each row/column for the corresponding group.