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spadework    音标拼音: [sp'edw,ɚk]
n. 挖掘的工作,费力气的基础工作,基本研究

挖掘的工作,费力气的基础工作,基本研究

spadework
n 1: dull or routine preliminary work preparing for an
undertaking


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  • What is the meaning of orthogonal in validation testing?
    Google searching reveals that "orthogonal validation" in an experimental context can mean different things in different fields "Orthogonal" is often applied loosely to anything that metaphorically can be thought of as "at right angles " The metaphor extends to statistics (uncorrelated variables are at "right angles" to each other), design of experiments (orthogonal designs and polynomials
  • terminology - Factor rotation methods (varimax, quartimax, oblimin, etc . . .
    Factor analysis has several rotation methods, such as varimax, quartimax, equamax, promax, oblimin, etc I am unable to find any information that relates their names to their actual mathematical or
  • interpretation - What is the intuitive reason behind doing rotations in . . .
    Oblique rotation methods $^5$ (albeit each having their own inclinations) allow, but don't force, factors to correlate, and are thus less restrictive If oblique rotation shows that factors are only weakly correlated, you may be confident that "in reality" it is so, and then you may turn to orthogonal rotation with good conscience
  • What are the differences between Factor Analysis and Principal . . .
    You claim that the differences between PCA and FA are intrinsic ones for the two methods (only they become apparent under clustering) I think you ought to show or at least speculate how or why the differences arise theoretically from the differences of the methods' models
  • Is PCA followed by a rotation (such as varimax) still PCA?
    That is why I prefer to call the above "FA-style view on PCA" and not FA, even though some people take it to be one of FA methods ) Now, what does a rotation do? E g an orthogonal rotation, such as varimax
  • How to compute varimax-rotated principal components in R?
    After the varimax rotation, the loading vectors are not orthogonal anymore (even though the rotation is called "orthogonal"), so one cannot simply compute orthogonal projections of the data onto the rotated loading directions @FTusell's answer assumes that varimax rotation is applied to the eigenvectors (not to loadings)
  • What is the difference between PCA and PAF method in factor analysis . . .
    7 What is the difference between principal component analyses (PCA) and principal axis factoring (PAF)? Also, I understand the difference between varimax and oblimin rotations, but is that the same as orthogonal and oblique?
  • Choosing variables to include in a multiple linear regression model
    This is why experiments aim for keeping explanatory variables orthogonal to eachother, to avoid this problem Traditionally analysts did stepwise adding and subtracting of variables to the model one at a time (similar to what you have done) and testing them individually or in small groups with t or F tests
  • What does varimax mean in factor analysis? - Cross Validated
    In the rotation options of SPSS Factor Analysis, there is a rotation method named "Varimax" If I choose this option, does it mean the orthogonal rotation technique of Principal Component Analysis





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