java.lang.Object
- org.rcsb.cif.model.BaseCategory
- - org.rcsb.cif.model.generated.Reflns

All Implemented Interfaces:

Category
```
@Generated("org.rcsb.cif.generator.SchemaGenerator")
public class Reflns
extends BaseCategory
```
Data items in the REFLNS category record details about the reflection data used to determine the ATOM_SITE data items. The REFLN data items refer to individual reflections and must be included in looped lists. The REFLNS data items specify the parameters that apply to all reflections. The REFLNS data items are not looped.

Field Summary
- Fields inherited from class org.rcsb.cif.model.BaseCategory
  isText, textFields

Constructor Summary

Constructors
Constructor	Description
`Reflns(String name)`
`Reflns(String name, int rowCount, Object[] encodedColumns)`
`Reflns(String name, Map<String,Column> columns)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`FloatColumn`	`getBIsoWilsonEstimate()`	The value of the overall isotropic displacement parameter estimated from the slope of the Wilson plot.
`StrColumn`	`getDataReductionDetails()`	A description of special aspects of the data-reduction procedures.
`StrColumn`	`getDataReductionMethod()`	The method used for data reduction.
`StrColumn`	`getDetails()`	A description of reflection data not covered by other data names.
`FloatColumn`	`getDResolutionHigh()`	The smallest value for the interplanar spacings for the reflection data.
`FloatColumn`	`getDResolutionLow()`	The largest value for the interplanar spacings for the reflection data.
`StrColumn`	`getEntryId()`	This data item is a pointer to _entry.id in the ENTRY category.
`FloatColumn`	`getFriedelCoverage()`	The proportion of Friedel-related reflections present in the number of 'independent' reflections specified by the item _reflns.number_all.
`IntColumn`	`getLimitHMax()`	Maximum value of the Miller index h for the reflection data.
`IntColumn`	`getLimitHMin()`	Minimum value of the Miller index h for the reflection data.
`IntColumn`	`getLimitKMax()`	Maximum value of the Miller index k for the reflection data.
`IntColumn`	`getLimitKMin()`	Minimum value of the Miller index k for the reflection data.
`IntColumn`	`getLimitLMax()`	Maximum value of the Miller index l for the reflection data.
`IntColumn`	`getLimitLMin()`	Minimum value of the Miller index l for the reflection data.
`IntColumn`	`getNumberAll()`	The total number of reflections in the REFLN list (not the DIFFRN_REFLN list).
`IntColumn`	`getNumberGt()`	The number of reflections in the REFLN list (not the DIFFRN_REFLN list) that are significantly intense, satisfying the criterion specified by _reflns.threshold_expression.
`IntColumn`	`getNumberObs()`	The number of reflections in the REFLN list (not the DIFFRN_REFLN list) classified as observed (see _reflns.observed_criterion).
`StrColumn`	`getObservedCriterion()`	The criterion used to classify a reflection as 'observed'.
`FloatColumn`	`getObservedCriterionFMax()`	The criterion used to classify a reflection as 'observed' expressed as an upper limit for the value of F.
`FloatColumn`	`getObservedCriterionFMin()`	The criterion used to classify a reflection as 'observed' expressed as a lower limit for the value of F.
`FloatColumn`	`getObservedCriterionIMax()`	The criterion used to classify a reflection as 'observed' expressed as an upper limit for the value of I.
`FloatColumn`	`getObservedCriterionIMin()`	The criterion used to classify a reflection as 'observed' expressed as a lower limit for the value of I.
`FloatColumn`	`getObservedCriterionSigmaF()`	The criterion used to classify a reflection as 'observed' expressed as a multiple of the value of sigma(F).
`FloatColumn`	`getObservedCriterionSigmaI()`	The criterion used to classify a reflection as 'observed' expressed as a multiple of the value of sigma(I).
`FloatColumn`	`getPdbxCCHalf()`	The Pearson's correlation coefficient expressed as a decimal value between the average intensities from randomly selected half-datasets.
`FloatColumn`	`getPdbxChiSquared()`	Overall Chi-squared statistic.
`StrColumn`	`getPdbxDiffrnId()`	An identifier for the diffraction data set for this set of summary statistics.
`FloatColumn`	`getPdbxDOpt()`	The optical resolution of the data set, d(opt), is the expected minimum distance between two resolved peaks in an electron-density map.
`FloatColumn`	`getPdbxDResHighOpt()`	The highest optical resolution for this reflection data set as determined by computational method _reflns.pdbx_d_res_opt_method.
`FloatColumn`	`getPdbxDResLowOpt()`	The lowest optical resolution for this reflection data set as determined by computational method _reflns.pdbx_d_res_opt_method.
`StrColumn`	`getPdbxDResOptMethod()`	The computational method used to determine the optical resolution limits _reflns.pdbx_d_res_high_opt and _reflns.pdbx_d_res_low_opt.
`FloatColumn`	`getPdbxNetIOverAvSigmaI()`	The ratio of the average intensity to the average uncertainty, <I>/<sigma(I)>.
`FloatColumn`	`getPdbxNetIOverSigmaI()`	The mean of the ratio of the intensities to their standard uncertainties, <I/sigma(I)>.
`IntColumn`	`getPdbxNumberAnomalous()`	This item is the same as _reflns.number_obs, but applies to observed Friedel pairs only.
`IntColumn`	`getPdbxNumberMeasuredAll()`	Total number of measured reflections.
`IntColumn`	`getPdbxOrdinal()`	An ordinal identifier for this set of reflection statistics.
`FloatColumn`	`getPdbxRedundancy()`	Overall redundancy for this data set (%).
`FloatColumn`	`getPdbxRedundancyReflnsObs()`	The redundancy in set of observed reflections.
`FloatColumn`	`getPdbxResNetIOverAvSigmaI2()`	Resolution (angstrom) for reflections with <I>/<sigma(I)> = 2.
`FloatColumn`	`getPdbxResNetIOverSigmaI2()`	Resolution (angstroms) for reflections with <I/sigma(I)> = 2.
`FloatColumn`	`getPdbxRmergeIAll()`	The R value for merging all intensities in this data set.
`FloatColumn`	`getPdbxRmergeIAnomalous()`	This item is the same as _reflns.pdbx_Rmerge_I, but applies only to observed Friedel pairs.
`FloatColumn`	`getPdbxRmergeIObs()`	The R value for merging intensities satisfying the observed criteria in this data set.
`FloatColumn`	`getPdbxRpimIAll()`	The precision-indicating merging R factor value Rpim, for merging all intensities in this data set.
`FloatColumn`	`getPdbxRpimIAllAnomalous()`	This item is the same as _reflns.pdbx_Rpim_I_all, but applies only to observed Friedel pairs.
`FloatColumn`	`getPdbxRrimIAll()`	The redundancy-independent merging R factor value Rrim, also denoted Rmeas, for merging all intensities in this data set.
`FloatColumn`	`getPdbxRrimIAllAnomalous()`	This item is the same as _reflns.pdbx_Rrim_I_all, but applies to the observed Friedel pairs only.
`FloatColumn`	`getPdbxRSplit()`	R split measures the agreement between the sets of intensities created by merging odd- and even-numbered images from the overall data.
`FloatColumn`	`getPdbxRsymValue()`	The R sym value as a decimal number.
`IntColumn`	`getPdbxScalingRejects()`	Number of reflections rejected in scaling operations.
`FloatColumn`	`getPercentPossibleObs()`	The percentage of geometrically possible reflections represented by reflections that satisfy the resolution limits established by _reflns.d_resolution_high and _reflns.d_resolution_low and the observation limit established by _reflns.observed_criterion.
`StrColumn`	`getPhaseCalculationDetails()`	The value of _reflns.phase_calculation_details describes a special details about calculation of phases in _refln.phase_calc.
`StrColumn`	`getRFreeDetails()`	A description of the method by which a subset of reflections was selected for exclusion from refinement so as to be used in the calculation of a 'free' R factor.
`FloatColumn`	`getRmergeFAll()`	Residual factor Rmerge for all reflections that satisfy the resolution limits established by _reflns.d_resolution_high and _reflns.d_resolution_low.
`FloatColumn`	`getRmergeFObs()`	Residual factor Rmerge for reflections that satisfy the resolution limits established by _reflns.d_resolution_high and _reflns.d_resolution_low and the observation limit established by _reflns.observed_criterion.
`StrColumn`	`getThresholdExpression()`	The threshold, usually based on multiples of u(I), u(F^2^) or u(F), that serves to identify significantly intense reflections, the number of which is given by _reflns.number_gt.

Methods inherited from class org.rcsb.cif.model.BaseCategory
getBinaryColumn, getCategoryName, getColumn, getColumnNames, getRowCount, isDefined

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.rcsb.cif.model.Category
columnNames, columns, get

- Constructor Detail
  - Reflns
```
public Reflns(String name,
              Map<String,Column> columns)
```
  - Reflns
```
public Reflns(String name,
              int rowCount,
              Object[] encodedColumns)
```
  - Reflns
```
public Reflns(String name)
```
- Method Detail
  - getBIsoWilsonEstimate
```
public FloatColumn getBIsoWilsonEstimate()
```
    The value of the overall isotropic displacement parameter estimated from the slope of the Wilson plot.
    
    Returns:
    
    FloatColumn
  - getEntryId
```
public StrColumn getEntryId()
```
    This data item is a pointer to _entry.id in the ENTRY category.
    
    Returns:
    
    StrColumn
  - getDataReductionDetails
```
public StrColumn getDataReductionDetails()
```
    A description of special aspects of the data-reduction procedures.
    
    Returns:
    
    StrColumn
  - getDataReductionMethod
```
public StrColumn getDataReductionMethod()
```
    The method used for data reduction. Note that this is not the computer program used, which is described in the SOFTWARE category, but the method itself. This data item should be used to describe significant methodological options used within the data-reduction programs.
    
    Returns:
    
    StrColumn
  - getDResolutionHigh
```
public FloatColumn getDResolutionHigh()
```
    The smallest value for the interplanar spacings for the reflection data. This is called the highest resolution.
    
    Returns:
    
    FloatColumn
  - getDResolutionLow
```
public FloatColumn getDResolutionLow()
```
    The largest value for the interplanar spacings for the reflection data. This is called the lowest resolution.
    
    Returns:
    
    FloatColumn
  - getDetails
```
public StrColumn getDetails()
```
    A description of reflection data not covered by other data names. This should include details of the Friedel pairs.
    
    Returns:
    
    StrColumn
  - getLimitHMax
```
public IntColumn getLimitHMax()
```
    Maximum value of the Miller index h for the reflection data. This need not have the same value as _diffrn_reflns.limit_h_max.
    
    Returns:
    
    IntColumn
  - getLimitHMin
```
public IntColumn getLimitHMin()
```
    Minimum value of the Miller index h for the reflection data. This need not have the same value as _diffrn_reflns.limit_h_min.
    
    Returns:
    
    IntColumn
  - getLimitKMax
```
public IntColumn getLimitKMax()
```
    Maximum value of the Miller index k for the reflection data. This need not have the same value as _diffrn_reflns.limit_k_max.
    
    Returns:
    
    IntColumn
  - getLimitKMin
```
public IntColumn getLimitKMin()
```
    Minimum value of the Miller index k for the reflection data. This need not have the same value as _diffrn_reflns.limit_k_min.
    
    Returns:
    
    IntColumn
  - getLimitLMax
```
public IntColumn getLimitLMax()
```
    Maximum value of the Miller index l for the reflection data. This need not have the same value as _diffrn_reflns.limit_l_max.
    
    Returns:
    
    IntColumn
  - getLimitLMin
```
public IntColumn getLimitLMin()
```
    Minimum value of the Miller index l for the reflection data. This need not have the same value as _diffrn_reflns.limit_l_min.
    
    Returns:
    
    IntColumn
  - getNumberAll
```
public IntColumn getNumberAll()
```
    The total number of reflections in the REFLN list (not the DIFFRN_REFLN list). This number may contain Friedel-equivalent reflections according to the nature of the structure and the procedures used. The item _reflns.details describes the reflection data.
    
    Returns:
    
    IntColumn
  - getNumberObs
```
public IntColumn getNumberObs()
```
    The number of reflections in the REFLN list (not the DIFFRN_REFLN list) classified as observed (see _reflns.observed_criterion). This number may contain Friedel-equivalent reflections according to the nature of the structure and the procedures used.
    
    Returns:
    
    IntColumn
  - getObservedCriterion
```
public StrColumn getObservedCriterion()
```
    The criterion used to classify a reflection as 'observed'. This criterion is usually expressed in terms of a sigma(I) or sigma(F) threshold.
    
    Returns:
    
    StrColumn
  - getObservedCriterionFMax
```
public FloatColumn getObservedCriterionFMax()
```
    The criterion used to classify a reflection as 'observed' expressed as an upper limit for the value of F.
    
    Returns:
    
    FloatColumn
  - getObservedCriterionFMin
```
public FloatColumn getObservedCriterionFMin()
```
    The criterion used to classify a reflection as 'observed' expressed as a lower limit for the value of F.
    
    Returns:
    
    FloatColumn
  - getObservedCriterionIMax
```
public FloatColumn getObservedCriterionIMax()
```
    The criterion used to classify a reflection as 'observed' expressed as an upper limit for the value of I.
    
    Returns:
    
    FloatColumn
  - getObservedCriterionIMin
```
public FloatColumn getObservedCriterionIMin()
```
    The criterion used to classify a reflection as 'observed' expressed as a lower limit for the value of I.
    
    Returns:
    
    FloatColumn
  - getObservedCriterionSigmaF
```
public FloatColumn getObservedCriterionSigmaF()
```
    The criterion used to classify a reflection as 'observed' expressed as a multiple of the value of sigma(F).
    
    Returns:
    
    FloatColumn
  - getObservedCriterionSigmaI
```
public FloatColumn getObservedCriterionSigmaI()
```
    The criterion used to classify a reflection as 'observed' expressed as a multiple of the value of sigma(I).
    
    Returns:
    
    FloatColumn
  - getPercentPossibleObs
```
public FloatColumn getPercentPossibleObs()
```
    The percentage of geometrically possible reflections represented by reflections that satisfy the resolution limits established by _reflns.d_resolution_high and _reflns.d_resolution_low and the observation limit established by _reflns.observed_criterion.
    
    Returns:
    
    FloatColumn
  - getRFreeDetails
```
public StrColumn getRFreeDetails()
```
    A description of the method by which a subset of reflections was selected for exclusion from refinement so as to be used in the calculation of a 'free' R factor.
    
    Returns:
    
    StrColumn
  - getRmergeFAll
```
public FloatColumn getRmergeFAll()
```
    Residual factor Rmerge for all reflections that satisfy the resolution limits established by _reflns.d_resolution_high and _reflns.d_resolution_low. sum~i~(sum~j~|F~j~ - <F>|) Rmerge(F) = -------------------------- sum~i~(sum~j~<F>) F~j~ = the amplitude of the jth observation of reflection i <F> = the mean of the amplitudes of all observations of reflection i sum~i~ is taken over all reflections sum~j~ is taken over all observations of each reflection
    
    Returns:
    
    FloatColumn
  - getRmergeFObs
```
public FloatColumn getRmergeFObs()
```
    Residual factor Rmerge for reflections that satisfy the resolution limits established by _reflns.d_resolution_high and _reflns.d_resolution_low and the observation limit established by _reflns.observed_criterion. sum~i~(sum~j~|F~j~ - <F>|) Rmerge(F) = -------------------------- sum~i~(sum~j~<F>) F~j~ = the amplitude of the jth observation of reflection i <F> = the mean of the amplitudes of all observations of reflection i sum~i~ is taken over all reflections sum~j~ is taken over all observations of each reflection
    
    Returns:
    
    FloatColumn
  - getFriedelCoverage
```
public FloatColumn getFriedelCoverage()
```
    The proportion of Friedel-related reflections present in the number of 'independent' reflections specified by the item _reflns.number_all. This proportion is calculated as the ratio: [N(Crystal class) - N(Laue symmetry)] / N(Laue symmetry) where, working from the DIFFRN_REFLN list, N(Crystal class) is the number of reflections obtained on averaging under the symmetry of the crystal class N(Laue symmetry) is the number of reflections obtained on averaging under the Laue symmetry. Examples: (a) For centrosymmetric structures, the value of _reflns.Friedel_coverage is necessarily equal to 0.0, as the crystal class is identical to the Laue symmetry. (b) For whole-sphere data for a crystal in the space group P1, _reflns.Friedel_coverage is equal to 1.0, as no reflection h k l is equivalent to -h -k -l in the crystal class and all Friedel pairs {h k l; -h -k -l} have been measured. (c) For whole-sphere data in space group Pmm2, _reflns.Friedel_coverage will be < 1.0 because although reflections h k l and -h -k -l are not equivalent when h k l indices are nonzero, they are when l=0. (d) For a crystal in space group Pmm2, measurements of the two inequivalent octants h >= 0, k >=0, l lead to the same value as in (c), whereas measurements of the two equivalent octants h >= 0, k, l >= 0 will lead to a zero value for _reflns.Friedel_coverage.
    
    Returns:
    
    FloatColumn
  - getNumberGt
```
public IntColumn getNumberGt()
```
    The number of reflections in the REFLN list (not the DIFFRN_REFLN list) that are significantly intense, satisfying the criterion specified by _reflns.threshold_expression. This may include Friedel-equivalent reflections (i.e. those which are symmetry-equivalent under the Laue symmetry but inequivalent under the crystal class) according to the nature of the structure and the procedures used. Any special characteristics of the reflections included in the REFLN list should be described using the item _reflns.details.
    
    Returns:
    
    IntColumn
  - getThresholdExpression
```
public StrColumn getThresholdExpression()
```
    The threshold, usually based on multiples of u(I), u(F^2^) or u(F), that serves to identify significantly intense reflections, the number of which is given by _reflns.number_gt. These reflections are used in the calculation of _refine.ls_R_factor_gt.
    
    Returns:
    
    StrColumn
  - getPdbxRedundancy
```
public FloatColumn getPdbxRedundancy()
```
    Overall redundancy for this data set (%).
    
    Returns:
    
    FloatColumn
  - getPdbxRmergeIObs
```
public FloatColumn getPdbxRmergeIObs()
```
    The R value for merging intensities satisfying the observed criteria in this data set.
    
    Returns:
    
    FloatColumn
  - getPdbxRmergeIAll
```
public FloatColumn getPdbxRmergeIAll()
```
    The R value for merging all intensities in this data set.
    
    Returns:
    
    FloatColumn
  - getPdbxRsymValue
```
public FloatColumn getPdbxRsymValue()
```
    The R sym value as a decimal number.
    
    Returns:
    
    FloatColumn
  - getPdbxNetIOverAvSigmaI
```
public FloatColumn getPdbxNetIOverAvSigmaI()
```
    The ratio of the average intensity to the average uncertainty, <I>/<sigma(I)>.
    
    Returns:
    
    FloatColumn
  - getPdbxNetIOverSigmaI
```
public FloatColumn getPdbxNetIOverSigmaI()
```
    The mean of the ratio of the intensities to their standard uncertainties, <I/sigma(I)>.
    
    Returns:
    
    FloatColumn
  - getPdbxResNetIOverAvSigmaI2
```
public FloatColumn getPdbxResNetIOverAvSigmaI2()
```
    Resolution (angstrom) for reflections with <I>/<sigma(I)> = 2.
    
    Returns:
    
    FloatColumn
  - getPdbxResNetIOverSigmaI2
```
public FloatColumn getPdbxResNetIOverSigmaI2()
```
    Resolution (angstroms) for reflections with <I/sigma(I)> = 2.
    
    Returns:
    
    FloatColumn
  - getPdbxChiSquared
```
public FloatColumn getPdbxChiSquared()
```
    Overall Chi-squared statistic.
    
    Returns:
    
    FloatColumn
  - getPdbxScalingRejects
```
public IntColumn getPdbxScalingRejects()
```
    Number of reflections rejected in scaling operations.
    
    Returns:
    
    IntColumn
  - getPdbxDResHighOpt
```
public FloatColumn getPdbxDResHighOpt()
```
    The highest optical resolution for this reflection data set as determined by computational method _reflns.pdbx_d_res_opt_method.
    
    Returns:
    
    FloatColumn
  - getPdbxDResLowOpt
```
public FloatColumn getPdbxDResLowOpt()
```
    The lowest optical resolution for this reflection data set as determined by computational method _reflns.pdbx_d_res_opt_method.
    
    Returns:
    
    FloatColumn
  - getPdbxDResOptMethod
```
public StrColumn getPdbxDResOptMethod()
```
    The computational method used to determine the optical resolution limits _reflns.pdbx_d_res_high_opt and _reflns.pdbx_d_res_low_opt.
    
    Returns:
    
    StrColumn
  - getPhaseCalculationDetails
```
public StrColumn getPhaseCalculationDetails()
```
    The value of _reflns.phase_calculation_details describes a special details about calculation of phases in _refln.phase_calc.
    
    Returns:
    
    StrColumn
  - getPdbxRrimIAll
```
public FloatColumn getPdbxRrimIAll()
```
    The redundancy-independent merging R factor value Rrim, also denoted Rmeas, for merging all intensities in this data set. sum~i~ [N~i~/(N~i~ - 1)]1/2^ sum~j~ | I~j~ - <I~i~> | Rrim = ---------------------------------------------------- sum~i~ ( sum~j~ I~j~ ) I~j~ = the intensity of the jth observation of reflection i <I~i~> = the mean of the intensities of all observations of reflection i N~i~ = the redundancy (the number of times reflection i has been measured). sum~i~ is taken over all reflections sum~j~ is taken over all observations of each reflection. Ref: Diederichs, K. & Karplus, P. A. (1997). Nature Struct. Biol. 4, 269-275. Weiss, M. S. & Hilgenfeld, R. (1997). J. Appl. Cryst. 30, 203-205. Weiss, M. S. (2001). J. Appl. Cryst. 34, 130-135.
    
    Returns:
    
    FloatColumn
  - getPdbxRpimIAll
```
public FloatColumn getPdbxRpimIAll()
```
    The precision-indicating merging R factor value Rpim, for merging all intensities in this data set. sum~i~ [1/(N~i~ - 1)]1/2^ sum~j~ | I~j~ - <I~i~> | Rpim = -------------------------------------------------- sum~i~ ( sum~j~ I~j~ ) I~j~ = the intensity of the jth observation of reflection i <I~i~> = the mean of the intensities of all observations of reflection i N~i~ = the redundancy (the number of times reflection i has been measured). sum~i~ is taken over all reflections sum~j~ is taken over all observations of each reflection. Ref: Diederichs, K. & Karplus, P. A. (1997). Nature Struct. Biol. 4, 269-275. Weiss, M. S. & Hilgenfeld, R. (1997). J. Appl. Cryst. 30, 203-205. Weiss, M. S. (2001). J. Appl. Cryst. 34, 130-135.
    
    Returns:
    
    FloatColumn
  - getPdbxDOpt
```
public FloatColumn getPdbxDOpt()
```
    The optical resolution of the data set, d(opt), is the expected minimum distance between two resolved peaks in an electron-density map. d(opt) = {2[sigma(Patt)2^ + sigma(sph)2^]}1/2^ sigma(Patt) = standard deviation of the Gaussian function fitted to the Patterson origin peak sigma(sph) = standard deviation of the Gaussian function fitted to the origin peak of the spherical interference function, representing the Fourier transform of a sphere with radius 1/dmin dmin = nominal resolution (_reflns.d_resolution_high) Ref: Vaguine, A. A., Richelle, J. & Wodak, S. J. (1999). Acta Cryst. D55, 191-205. (see also http://www.ysbl.york.ac.uk/~alexei/sfcheck.html) Weiss, M. S. (2001). J. Appl. Cryst. 34, 130-135.
    
    Returns:
    
    FloatColumn
  - getPdbxNumberMeasuredAll
```
public IntColumn getPdbxNumberMeasuredAll()
```
    Total number of measured reflections.
    
    Returns:
    
    IntColumn
  - getPdbxDiffrnId
```
public StrColumn getPdbxDiffrnId()
```
    An identifier for the diffraction data set for this set of summary statistics. Multiple diffraction data sets entered as a comma separated list.
    
    Returns:
    
    StrColumn
  - getPdbxOrdinal
```
public IntColumn getPdbxOrdinal()
```
    An ordinal identifier for this set of reflection statistics.
    
    Returns:
    
    IntColumn
  - getPdbxCCHalf
```
public FloatColumn getPdbxCCHalf()
```
    The Pearson's correlation coefficient expressed as a decimal value between the average intensities from randomly selected half-datasets. Ref: Karplus & Diederichs (2012), Science 336, 1030-33
    
    Returns:
    
    FloatColumn
  - getPdbxRSplit
```
public FloatColumn getPdbxRSplit()
```
    R split measures the agreement between the sets of intensities created by merging odd- and even-numbered images from the overall data. Ref: T. A. White, R. A. Kirian, A. V. Martin, A. Aquila, K. Nass, A. Barty and H. N. Chapman (2012), J. Appl. Cryst. 45, 335-341
    
    Returns:
    
    FloatColumn
  - getPdbxRedundancyReflnsObs
```
public FloatColumn getPdbxRedundancyReflnsObs()
```
    The redundancy in set of observed reflections.
    
    Returns:
    
    FloatColumn
  - getPdbxNumberAnomalous
```
public IntColumn getPdbxNumberAnomalous()
```
    This item is the same as _reflns.number_obs, but applies to observed Friedel pairs only.
    
    Returns:
    
    IntColumn
  - getPdbxRrimIAllAnomalous
```
public FloatColumn getPdbxRrimIAllAnomalous()
```
    This item is the same as _reflns.pdbx_Rrim_I_all, but applies to the observed Friedel pairs only.
    
    Returns:
    
    FloatColumn
  - getPdbxRpimIAllAnomalous
```
public FloatColumn getPdbxRpimIAllAnomalous()
```
    This item is the same as _reflns.pdbx_Rpim_I_all, but applies only to observed Friedel pairs.
    
    Returns:
    
    FloatColumn
  - getPdbxRmergeIAnomalous
```
public FloatColumn getPdbxRmergeIAnomalous()
```
    This item is the same as _reflns.pdbx_Rmerge_I, but applies only to observed Friedel pairs.
    
    Returns:
    
    FloatColumn

Class Reflns

Field Summary

Fields inherited from class org.rcsb.cif.model.BaseCategory

Constructor Summary

Method Summary

Methods inherited from class org.rcsb.cif.model.BaseCategory

Methods inherited from class java.lang.Object

Methods inherited from interface org.rcsb.cif.model.Category

Constructor Detail

Reflns

Reflns

Reflns

Method Detail

getBIsoWilsonEstimate

getEntryId

getDataReductionDetails

getDataReductionMethod

getDResolutionHigh

getDResolutionLow

getDetails

getLimitHMax

getLimitHMin

getLimitKMax

getLimitKMin

getLimitLMax

getLimitLMin

getNumberAll

getNumberObs

getObservedCriterion

getObservedCriterionFMax

getObservedCriterionFMin

getObservedCriterionIMax

getObservedCriterionIMin

getObservedCriterionSigmaF

getObservedCriterionSigmaI

getPercentPossibleObs

getRFreeDetails

getRmergeFAll

getRmergeFObs

getFriedelCoverage

getNumberGt

getThresholdExpression

getPdbxRedundancy

getPdbxRmergeIObs

getPdbxRmergeIAll

getPdbxRsymValue

getPdbxNetIOverAvSigmaI

getPdbxNetIOverSigmaI

getPdbxResNetIOverAvSigmaI2

getPdbxResNetIOverSigmaI2

getPdbxChiSquared

getPdbxScalingRejects

getPdbxDResHighOpt

getPdbxDResLowOpt

getPdbxDResOptMethod

getPhaseCalculationDetails

getPdbxRrimIAll

getPdbxRpimIAll

getPdbxDOpt

getPdbxNumberMeasuredAll

getPdbxDiffrnId

getPdbxOrdinal

getPdbxCCHalf

getPdbxRSplit

getPdbxRedundancyReflnsObs

getPdbxNumberAnomalous

getPdbxRrimIAllAnomalous

getPdbxRpimIAllAnomalous

getPdbxRmergeIAnomalous