NumericColumn class

Constructors

NumericColumn(Iterable<num> xs)

Properties

copy NumericColumn
A copy of this column.
no setter
counts Map<num, int>
The number of times each value occurs in this column.
no setterinherited
densityFunctionIfNormal num Function(num)
An approximate density function assuming the data is normally distributed.
no setter
hashCode int
The hash code for this object.
no setterinherited
indexOrders List<int>
The indices the respective elements would move to upon ordering.
no setterinherited
indicesWithMissingValues List<int>
The indices where data is missing.
no setter
indicesWithValues List<int>
The indices where data is present.
no setter
inferredStandardDeviation num
The estimated standard deviation in the population the stored data was sampled from.
no setter
inferredVariance num
The estimated variance in the population the stored data was sampled from.
no setter
interQuartileRange num
The inter-quartile range of the stored data.
no setter
kernelDensityFunction num Function(num)
An approximate, nonparametric kernel density function.
no setter
length int
The number of elements in this column.
no setterinherited
lowerQuartile num
The lower quartile of the stored data.
no setter
maximum num
The greatest value in the stored data.
no setter
maximumNonOutlier num
The greatest value on the stored data that is not an outlier.
no setter
mean num
The mean of the stored data.
no setter
meanAbsoluteDeviation num
The mean absolute deviation from the mean of the stored data.
no setter
median num
The median of the stored data.
no setter
minimum num
The least value in the stored data.
no setter
minimumNonOutlier num
The least value in the stored data that is not an outlier.
no setter
orderedIndices List<int>
The indices that would order the data.
no setterinherited
proportions Map<num, num>
The proportion of this column made up by each value.
no setterinherited
quantiles List<num>
The quantiles associated with the stored values.
no setter
quantilesIfNormal List<num>
The theoretical quantiles associated with the stored values under the assumption that the sampled population is normal.
no setter
range num
The range of stored values.
no setter
residuals List<num>
The difference between each stored value and the mean.
no setter
runtimeType Type
A representation of the runtime type of the object.
no setterinherited
skewness num
Fisher's moment coefficient of skewness of the stored data.
no setter
squaredResiduals List<num>
The squared difference between each stored value and the mean.
no setter
standardDeviation num
The standard deviation in the data.
no setter
sum num
The sum of the stored data.
no setter
summary Map<String, num>
A statistical summary of this column.
no setter
sumOfSquares num
The sum of the squares of the stored data.
no setter
uniqueValues Set<num>
The unique values stored in this column.
no setterinherited
upperQuartile num
The upper quartile of the stored data.
no setter
values List<num>
A copy of the data stored in this column..
no setterinherited
variance num
The variance in the stored data.
no setter
zScores List<num>
The number of standard deviations each stored value is from the mean.
no setter
zScoresInferred List<num>
The number of estimated standard deviations of the sampled population each stored value is from the mean.
no setter

Methods

add(num element) → void
Adds element to this column.
addAll(Iterable<num> elements) → void
Adds all values in elements to this column.
bootstrap({int? seed}) NumericColumn
A bootstrap sample from this column.
bootstrapConfidenceIntervals({int simulations = 1000, num confidence = 0.95}) Future<Map<String, (num, num)>>
Bootstrap confidence intervals for statistics.
inherited
correlation(NumericColumn that) num
The correlation between the values stored in this and those in that.
dot(NumericColumn that) num
The dot product of this and that.
indicesWhere(bool predicate(num)) List<int>
The indices of the values that meet predicate.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
standardizedZScores(num mu, num sigma) List<num>
The z score associated with each value under the assumption the sampled population has mean μ and standard deviation σ.
tile(num p) num
The p-tile of the stored data, where 0 ≤ p ≤ 1.
toString() String
A string representation of this object.
inherited
valuesAtIndices(Iterable<int> indices) List<num>
The values stored at indices in this column.
inherited

Operators

operator ==(Object other) bool
The equality operator.
inherited
operator [](int index) num
operator []=(int index, num value) → void