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Statistical concept
In statistics, the Anscombe transform, named after Francis Anscombe, is a variance-stabilizing transformation that transforms a random variable with a
Anscombe_transform
English statistician
variance-stabilizing transformation for Poisson data is often known as the Anscombe transform. He later became interested in statistical computing, and stressed
Frank_Anscombe
Method of data analysis
analysis, visualization and data preprocessing. The data are linearly transformed onto a new coordinate system such that the directions (principal components)
Principal_component_analysis
Collection of statistical models
This design-based analysis was discussed and developed by Francis J. Anscombe at Rothamsted Experimental Station and by Oscar Kempthorne at Iowa State
Analysis_of_variance
Function for integral Fourier-like transform
wavelet transform (SWT) Fractional Fourier transform (FRFT) Fractional wavelet transform (FRWT) There are a number of generalized transforms of which
Wavelet
Measure of variation in statistics
mean and identity covariance. This is called the Mahalanobis whitening transform. The mean and the standard deviation of a set of data are descriptive
Standard_deviation
Signal representation
domains with a pair of mathematical operators called transforms. An example is the Fourier transform, which converts a time function into a complex valued
Frequency_domain
Statistical relationship
image shows scatter plots of Anscombe's quartet, a set of four different pairs of variables created by Francis Anscombe. The four y {\displaystyle y}
Correlation
Measure of linear correlation
calculating the Pearson's correlation coefficient. Mathematics portal Anscombe's quartet Association (statistics) Coefficient of colligation Yule's Q Yule's
Pearson correlation coefficient
Pearson_correlation_coefficient
Probabilistic problem-solving algorithm
phenomenon in question. Pseudo-random number sampling algorithms are used to transform uniformly distributed pseudo-random numbers into numbers that are distributed
Monte_Carlo_method
Correlation of a signal with a time-shifted copy of itself, as a function of shift
the power spectral density S X X {\displaystyle S_{XX}} via the Fourier transform: R X X ( τ ) = ∫ − ∞ ∞ S X X ( ω ) e i ω τ d ω S X X ( ω ) = ∫ − ∞ ∞
Autocorrelation
Function of the observed sample results
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
P-value
Statistical methods for comparing samples
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Two-proportion_Z-test
Concept in machine learning
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Double_descent
Statistical transformation
as |ρ| is not too large and N is not too small. The behavior of this transform has been extensively studied since Fisher introduced it in 1915. Fisher
Fisher_transformation
Statistical modeling method
not used for log-normal data, instead the response variable is simply transformed using the logarithm function); when modeling categorical data, such as
Linear_regression
Data visualization
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Box_plot
Covariance and correlation
affine transform. Specifically, T i ( ⋅ ) {\displaystyle T_{i}(\cdot )} can be circular translation transform, rotation transform, or scale transform, etc
Cross-correlation
Method of statistical inference
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Bayesian_inference
Statistical hypothesis test
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Student's_t-test
Type of chart
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Bar_chart
Statistical test comparing two probability distributions
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Kolmogorov–Smirnov_test
Processes that maintain quality at a constant level
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Quality_control
Statistical measure to determine how suited data is for factor analysis
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Kaiser–Meyer–Olkin_test
Generalization of the one-dimensional normal distribution to higher dimensions
variates (which can be generated, for example, by using the Box–Muller transform). Let x be μ + Az. This has the desired distribution due to the affine
Multivariate normal distribution
Multivariate_normal_distribution
Statistical hypothesis test
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Chi-squared_test
Range to estimate an unknown parameter
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Confidence_interval
Form of scientific experiment
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Randomized_controlled_trial
Position that there is no relationship between two phenomena
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Null_hypothesis
Numerical measure of a statistical relationship between variables
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Correlation_coefficient
Statistical measure of how far values spread from their average
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Variance
Type of statistical measure over subsets of a dataset
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Moving_average
Middle quantile of a data set or probability distribution
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Median
Goodness-of-fit measure in statistics
the kurtosis — the expressions given in the previous section. Similarly, Anscombe & Glynn (1983) suggested a transformation for g2, which works reasonably
D'Agostino's_K-squared_test
Fundamental theorem in probability theory and statistics
statement can be made about Fourier transforms, since the characteristic function is essentially a Fourier transform. Let Sn be the sum of n random variables
Central_limit_theorem
Method of estimating the parameters of a statistical model, given observations
{\displaystyle \theta } , and if g ( θ ) {\displaystyle g(\theta )} is a bijective transform of θ {\displaystyle \theta } , then the maximum likelihood estimator for
Maximum_likelihood_estimation
Relationship between items in a set
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Ranking
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Coefficient_of_variation
Measure of the joint variability
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Covariance
Statistical measure of association
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Cramér's_V
Term in statistical hypothesis testing
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Power_(statistics)
Diagnostic plot of binary classifier ability
detections) vs. the false positive rate (false alarms) on non-linearly transformed x- and y-axes. The transformation function is the quantile function of
Receiver operating characteristic
Receiver_operating_characteristic
Sequence of data points over time
techniques: Fast Fourier transform Continuous wavelet transform Short-time Fourier transform Chirplet transform Fractional Fourier transform Chaotic analysis
Time_series
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
List_of_statistical_tests
Statistical model validation technique
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Cross-validation_(statistics)
Measure of covariance of components of a random vector
called principal component analysis (PCA) and the Karhunen–Loève transform (KL-transform). The covariance matrix plays a key role in financial economics
Covariance_matrix
Data transformation of statistics into rank
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Ranking_(statistics)
Study of collection and analysis of data
century, was led by the work of Francis Galton and Karl Pearson, who transformed statistics into a rigorous mathematical discipline used for analysis
Statistics
How many standard deviations apart from the mean an observed datum is
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Standard_score
Measure of the asymmetry of random variables
whose values are evenly distributed around a central value of 50. We can transform this sequence into a negatively skewed distribution by adding a value
Skewness
Categorization of data using statistics
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistical_classification
Mathematical relation assigning a probability event to a cost
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Loss_function
Quantity that indexes a parametrized family of probability distributions
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistical_parameter
Statistical method
intervals from bootstrapping transformed data (e.g., by taking the logarithm) would ideally be the same as transforming the confidence intervals from
Bootstrapping_(statistics)
Approximation method in statistics
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Least_squares
Statistical method
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Factor_analysis
Unit of information
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Data
Type of average of a collection of numbers
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Arithmetic_mean
Statistical test
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Z-test
Statistical sampling technique
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Latin_hypercube_sampling
Nonparametric measure of rank correlation
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Spearman's rank correlation coefficient
Spearman's_rank_correlation_coefficient
Statistical indicators in signal processing
the Fourier transform technique to interpret the obtained tactile information for texture classification. However, the Fourier transform is not appropriate
Hjorth_parameters
ANOVA–simultaneous component analysis Anomaly detection Anomaly time series Anscombe transform Anscombe's quartet Antecedent variable Antithetic variates Approximate
List_of_statistics_articles
Statistical property
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Standard_error
Test of normality in frequentist statistics
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Shapiro–Wilk_test
Variable representing a random phenomenon
positive and negative). However, because of symmetry, both halves will transform identically, i.e., f Y ( y ) = 2 f X ( g − 1 ( y ) ) | d g − 1 ( y ) d
Random_variable
Process of using data analysis for predicting population data from sample data
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistical_inference
Statistic measuring inter-rater agreement for categorical items
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Cohen's_kappa
Comparison of two distributions
follows the 45° line y = x. If the two distributions agree after linearly transforming the values in one of the distributions, then the Q–Q plot follows some
Q–Q_plot
Statistics concept
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Errors_and_residuals
Sampling from a population which can be partitioned into subpopulations
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Stratified_sampling
Method of statistical inference
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistical_hypothesis_test
Complete set of items that share at least one property in common
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistical_population
Single measure of some attribute of a sample
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistic
Statistical measure of the magnitude of a phenomenon
differences is Cohen's q. This is the difference between two Fisher transformed Pearson regression coefficients. In symbols this is q = 1 2 log 1 +
Effect_size
Metric for fit of statistical models
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Goodness_of_fit
Non-parametric method for testing whether samples originate from the same distribution
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Kruskal–Wallis_test
Probability distribution
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Student's_t-distribution
Series of questions for gathering information
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Questionnaire
Measure of statistical dispersion
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Interquartile_range
Statistical phenomenon
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Regression_toward_the_mean
Set of statistical processes for estimating the relationships among variables
in fields such as survey analysis and neuroimaging. Mathematics portal Anscombe's quartet Curve fitting Estimation theory Forecasting Fraction of variance
Regression_analysis
Plot using the dispersal of scattered dots to show the relationship between variables
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Scatter_plot
Statistical property quantifying how much a collection of data is spread out
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Statistical_dispersion
Grouping a set of objects by similarity
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Cluster_analysis
Statistical test
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Wald_test
Statistical model used in time series analysis
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Autoregressive moving-average model
Autoregressive_moving-average_model
Method of estimating the parameters of a statistical model
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Maximum a posteriori estimation
Maximum_a_posteriori_estimation
Non-parametric statistical test
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Friedman_test
Conditional probability used in Bayesian statistics
which do not induce any probabilistic confidence. It is desirable to transform or rescale membership values to class-membership probabilities, since
Posterior_probability
Value that appears most often in a set of data
arbitrarily skewed is given by the log-normal distribution. It is obtained by transforming a random variable X having a normal distribution into random variable
Mode_(statistics)
Statistical method for handling multiple comparisons
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
False_discovery_rate
In mathematics, a quantitative measure of the shape of a set of points
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Moment_(mathematics)
Compilation of information about a given population
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Census
Analysis of math functions with respect to time
in the frequency domain. Frequency domain Fourier transform Laplace transform Blackman–Tukey transform "Time Domain Analysis vs Frequency Domain Analysis:
Time_domain
Statistic for rank correlation
remains to calculate the probability. We perform this by repeated affine transforms. First normalize X , Y {\textstyle X,Y} by subtracting the mean and dividing
Kendall rank correlation coefficient
Kendall_rank_correlation_coefficient
Parametric model in survival analysis
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Accelerated failure time model
Accelerated_failure_time_model
Gathering information for analysis
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Data_collection
Distribution function associated with the empirical measure of a sample
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Empirical distribution function
Empirical_distribution_function
Method of plotting numeric data
transformation Power transform Box–Cox transformation Yeo–Johnson transformation Variance-stabilizing transformation Anscombe transform Fisher transformation
Violin_plot
ANSCOMBE TRANSFORM
ANSCOMBE TRANSFORM
Girl/Female
Greek
The laurel tree. The mythological virtuous Daphne was transformed into a laurel tree to protect...
Surname or Lastname
English
English : habitational name from Lichfield in Staffordshire. The first element preserves a British name recorded as Letocetum during the Romano-British period. This means ‘gray wood’, from words which are the ancestors of Welsh llŵyd ‘gray’ and coed ‘wood’. By the Old English period this had been reduced to Licced, and the element feld ‘pasture’, ‘open country’ was added to describe a patch of cleared land within the ancient wood.English : habitational name from Litchfield in Hampshire, recorded in Domesday Book as Liveselle. This is probably from an Old English hlīf ‘shelter’ + Old English scylf ‘shelf’, ‘ledge’. The subsequent transformation of the place name may be the result of folk etymological association with Old English hlið, hlid ‘slope’ + feld ‘open country’.
Male
English
Variant spelling of English Anscom, ANSCOMB means "stone-enclosed valley."
Surname or Lastname
English (Devon)
English (Devon) : variant spelling of Luscombe.
Boy/Male
American, Anglo, British, Christian, English
Lives in the Valley; Place Name; Valley of the Awesome One
Surname or Lastname
English (Devon)
English (Devon) : habitational name from a former place whose name survives in the name of Wiscombe Park, Southleigh, Devon.
Girl/Female
Latin
or Selena. One of seven mythological daughters of Atlas transformed by Zeus into stars of the...
Girl/Female
Latin
or Selena. One of seven mythological daughters of Atlas transformed by Zeus into stars of the...
Boy/Male
English
Lives in the valley of the majestic one.
Surname or Lastname
English (Devon)
English (Devon) : habitational name from any of the five villages of this name in Devon or from Loscombe in Powerstock, Dorset, all probably named from Old English hlÅse ‘pigsty’ + cumb ‘valley’ (see Coombe).
Boy/Male
British, English
Place Name; Valley of the Awesome One
Surname or Lastname
English
English : habitational name from either of two places called Liscombe, in Devon and Somerset. The first is named from Old English lycce ‘enclosure’ + cumb ‘valley’, while Liscombe in Somerset is named with Old English hlÅse ‘pigsty’ + cumb.
Surname or Lastname
English
English : habitational name from either of two places called Boscombe (in Dorset and Wiltshire), both named with Old English bors ‘spiky plant’ + cumb ‘valley’.Alpheus Bascom, said to be of Huguenot stock, was in Hancock, NY, by 1796.
Girl/Female
Latin
or Selena. One of seven mythological daughters of Atlas transformed by Zeus into stars of the...
Boy/Male
American, Anglo, British, Christian, English
Place Name; Valley of the Awesome One; Lives in the Valley of the Majestic One; Stone Enclosed Valley
Male
English
English surname transferred to forename use, ANSCOM means "stone-enclosed valley."Â
Surname or Lastname
English and French
English and French : regional name from Old French Poitevin, denoting someone from Poitou in western France. The form Potvin has long been established in England and was brought to the U.S. from there. However, French bearers of the surname Poitevin also came to the New World, where their surname underwent a similar transformation on arrival in New England.
Boy/Male
English
Lives in the valley of the majestic one.
Girl/Female
Israeli
The laurel tree. The mythological virtuous Daphne was transformed into a laurel tree to protect...
Surname or Lastname
English
English : habitational name from Branscombe in Devon, which is named from the Celtic personal name Branoc + Old English cumb ‘valley’. The usual English spelling is Branscombe, as in the place name.
ANSCOMBE TRANSFORM
ANSCOMBE TRANSFORM
Girl/Female
Gujarati, Hindu, Indian
Divine Offering
Boy/Male
British, English
Noble Friend
Boy/Male
Indian
King of World
Girl/Female
Hindu
Daughter of king of mountains, Parvatha, Wife of Lord Shiva, Goddess
Boy/Male
Assamese, Bengali, Indian
Pomegranate; One Type of Fruit
Boy/Male
Australian, British, Christian, English, Shakespearean
Marshland Dweller; Marsh Settlement
Surname or Lastname
English
English : from the Middle English personal name Rolf, composed of the Germanic elements hrÅd ‘renown’ + wulf ‘wolf’. This name was especially popular among Nordic peoples in the contracted form Hrólfr, and seems to have reached England by two separate channels; partly through its use among pre-Conquest Scandinavian settlers, partly through its popularity among the Normans, who, however, generally used the form Rou(l) (see Rollo).North German : from a personal name, a contracted form of Rudolf, cognate with 1.
Girl/Female
Hindu
Lovely, White, Clearness
Female
English
English variant spelling of Latin Marcia, MARSHA means "defense" or "of the sea."
Girl/Female
Arabic, German, Punjabi, Turkish
Romantic; Joyful
ANSCOMBE TRANSFORM
ANSCOMBE TRANSFORM
ANSCOMBE TRANSFORM
ANSCOMBE TRANSFORM
ANSCOMBE TRANSFORM
imp. & p. p.
of Transform
v. t.
To change the form of; to change in shape or appearance; to metamorphose; as, a caterpillar is ultimately transformed into a butterfly.
v. t.
To change into another shape or form; to transform.
v. t.
To change the form, quality, aspect, or effect of; to alter; to metamorphose; to convert; to transform; -- often with to or into before the word denoting the effect or product of the change; as, to turn a worm into a winged insect; to turn green to blue; to turn prose into verse; to turn a Whig to a Tory, or a Hindu to a Christian; to turn good to evil, and the like.
n.
The act of transforming, or the state of being transformed; change of form or condition.
a.
Having power, or a tendency, to transform.
n.
One who, or that which, transforms. Specif. (Elec.), an apparatus for producing from a given electrical current another current of different voltage.
n.
A small ulcerous swelling, coming suddenly; also, a whitlow.
n.
A change of form, direction, or the like; transformation; conversion; turning.
p. pr. & vb. n.
of Transform
a.
Capable of being transmuted or changed into a different substance, or into into something of a different form a nature; transformable.
v. t.
To change into another substance; to transmute; as, the alchemists sought to transform lead into gold.
v. t.
To change from one species to another; to transform.
n.
One of the changes of assimilation, in which proteid matter which has been transformed, and made a part of the tissue or tissue cells, is endowed with life, and thus enabled to manifest the phenomena of irritability, contractility, etc.
v. t.
To transfer or transform the nature of.
n.
The change of one species into another, which is assumed to take place in any development theory of life; transformism.
a.
Capable of being transformed or changed.
v. i.
To be changed, altered, or transformed; to become transmuted; also, to become by a change or changes; to grow; as, wood turns to stone; water turns to ice; one color turns to another; to turn Mohammedan.
v. t.
To change from one nature, form, or substance, into another; to transform.
v. t.
To change; to transform; to invert.