quantify(
xmap,
qnt,
cluster,
maps_x = attr(xmap, "pixel")[1L],
maps_y = attr(xmap, "pixel")[2L],
phase = everything(),
element = everything(),
fine_phase = NULL,
fine_th = 0.9,
fix = NULL,
se = FALSE,
saving = TRUE,
...
)
Arguments
xmap |
Object returned by read_xmap() . |
qnt |
Object returned by read_qnt() . |
cluster |
Object returned by cluster_xmap() . |
maps_x, maps_y |
Sizes of maps along x- and y-axes comprising guide net map.
(default: NULL ). |
phase |
Selected ones are referenced to detect outliers. Default selects everything.
Tidy selection is available. For example c(Si, Ti) selects them, and
c(-Si, -Ti) selects everything except them. |
element |
Selected ones are referenced to detect outliers. Default selects everything.
Tidy selection is available. For example c(Si, Ti) selects them, and
c(-Si, -Ti) selects everything except them. |
fine_phase |
Deprecated as of qntmap > 0.4.0. Use phase instead. |
fine_th |
A threshold of membership degrees to 0.9 |
fix |
A path to the file specifying chemical compositions of
some elements in some phases (default: NULL ). |
se |
FALSE in default, and is forced when fix is specified.
TRUE calculates standard errors, but require large memories.
|
saving |
TRUE (default) saves the results into qntmap directory under
the directory xmap is read from. FALSE does not save.`
|
... |
Arguments passed on to find_outlier
interval A type of the interval. Data points outside intervals are treated as outliers.
If "prediction" (default), prediction intervals are used based on Poisson process.
If `"tukey"``, conditional lower and upper whiskers are used where the lower is
$Q_1/4 - 1.5 IQR$ and the upper is $Q_3/4 + 1.5 IQR$.
method Applicable when interval = "prediction" .
If "rq" (default), quantile regression is performed (quantreg::rq() ).
If "lsfit" , least square regression is performed (stats::lsfit() ).
percentile A percentile of predictive interaval.
Applicable when interval = "prediction" .
|