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Registros recuperados: 63
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Stata tip 27: Classifying data points on scatter plots AgEcon
Cox, Nicholas J..
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117552
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Stata tip 33: Sweet sixteen: Hexadecimal formats and precision problems AgEcon
Cox, Nicholas J..
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117581
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Suggestions on Stata programming style AgEcon
Cox, Nicholas J..
Various suggestions are made on Stata programming style, under the headings of presentation, helpful Stata features, respect for datasets, speed and effciency, reminders, and style in the large.
Tipo: Journal Article Palavras-chave: Stata language; Programming style; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117546
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Speaking Stata: How to face lists with fortitude AgEcon
Cox, Nicholas J..
Three commands in official Stata, foreach, forvalues, and for, provide structures for cycling through lists of values (variable names, numbers, arbitrary text) and repeating commands using members of those lists in turn. All these commands may be used interactively, and none is restricted to use in Stata programs. They are explained and compared in some detail with a variety of examples. In addition, a self-contained exposition is given on local macros, understanding of which is needed for use of foreach and forvalues.
Tipo: Journal Article Palavras-chave: Foreach; Forvalues; For; Lists; Local macros; Substitution first; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/115962
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Stata tip 24: Axis labels on two or more levels AgEcon
Cox, Nicholas J..
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117536
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Do-it-yourself shuffling and the number of runs under randomness AgEcon
Smeeton, Nigel; Cox, Nicholas J..
A common class of problem in statistical science is estimating, as a benchmark, the probability of some event under randomness. For example, in a sequence of events in which several outcomes are possible and the length of the sequence and number of outcomes of each type known, the number of runs gives an indication of whether the outcomes are random, clustered, or alternating. This note explains and illustrates a simple method of random shuffling that is often useful. We show how the conditional probability distribution of the number of runs may be derived easily in Stata, thus yielding p-values for testing the null hypothesis that the type of outcome is random. We also compare our direct approach with that using the simulate command.
Tipo: Journal Article Palavras-chave: Alternation; Categorical data; Clustering; Conditional distribution; Forvalues; P-value; Permutation; Run; Sequence; Simulate; Simulation; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116095
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Speaking Stata: On numbers and strings AgEcon
Cox, Nicholas J..
The great divide among data types in Stata is between numeric and string variables. Most of the time, which kind you want to use for particular variables is clear and unproblematic, but surprisingly often, users face difficulties in making the right decision or need to convert variables from one kind to another. The main problems that may arise and their possible solutions are surveyed with reference both to official Stata and to user-written programs.
Tipo: Journal Article Palavras-chave: Binary variables; Categorical variables; Data Editor; Dates; Decode; Destring; Encode; Identifiers; Missing values; Numeric variables; Spreadsheets; String functions; String variables; Tostring; Value labels; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116018
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A multivariable scatterplot smoother AgEcon
Royston, Patrick; Cox, Nicholas J..
We present an extension of Sasieni, Royston, and Cox’s bivariate smoother running to the multivariable context. The software aims to provide a picture of the relation between a response variable and each of several continuous predictors simultaneously. This may be a valuable tool in exploratory data analysis, before constructing a more formal multiple regression model.
Tipo: Journal Article Palavras-chave: Mrunning; Running; Scatterplot smoothing; Multivariable regression analysis; Running line; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117529
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Speaking Stata: Smoothing in various directions AgEcon
Cox, Nicholas J..
Identifying patterns in bivariate data on a scatterplot remains a basic statistical problem, with special avor when both variables are on the same footing. Ideas of double, diagonal, and polar smoothing inspired by Cleveland and McGill’s 1984 paper in the Journal of the American Statistical Association are revisited with various examples from environmental datasets. Double smoothing means smoothing both y given x and x given y. Diagonal smoothing means smoothing based on the sum and difference of y and x that treats the two variables symmetrically, possibly under standardization. Polar smoothing is based on the transformation from Cartesian to polar coordinates followed by smoothing and then reverse transformation; here the smoothing is implemented by...
Tipo: Journal Article Palavras-chave: Exploratory data analysis; Statistical graphics; Bivariate data; Double smoothing; Doublesm; Diagonal smoothing; Diagsm; Polar smoothing; Polarsm; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117548
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Speaking Stata: Time of day AgEcon
Cox, Nicholas J..
Many problems in statistical analysis include time-of-day variables, but Stata offers limited support for time-of-day calculations. Support is needed for dates with times, times alone, and durations or timings. This article presents two new programs as general utilities to convert back and forth between string and numeric representations.
Tipo: Journal Article Palavras-chave: Ntimeofday; Stimeofday; Time of day; Time series; Calendar; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117562
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Speaking Stata: Distinct observations AgEcon
Cox, Nicholas J.; Longton, Gary M..
Distinct observations are those different with respect to one or more variables, considered either individually or jointly. Distinctness is thus a key aspect of the similarity or difference of observations. It is sometimes confounded with uniqueness. Counting the number of distinct observations may be required at any point from initial data cleaning or checking to subsequent statistical analysis. We review how far existing commands in official Stata offer solutions to this issue, and we show how to answer questions about distinct observations from first principles by using the by prefix and the egen command. The new distinct command is offered as a convenience tool.
Tipo: Article Palavras-chave: Distinct; By; Egen; Distinctness; Uniqueness; Data management; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122622
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Speaking Stata: Rowwise AgEcon
Cox, Nicholas J..
Stata’s main data model treats observations in rows and variables in columns quite differently, but rowwise problems also arise that require working against the grain. This column shows how to exploit existing functions and egen functions when they exist and apply to such problems. It offers advice on how to build your own loops, egen functions, or programs when needed. Mata provides especially convenient tools for constructing many such functions and programs, centered on putting selected data into matrices and then processing each observation as a separate vector. Two programs, rowsort and rowranks, are formally published with this column.
Tipo: Article Palavras-chave: Rowsort; Rowranks; Rows; Functions; Loops; Egen; Mata; Minimum; Maximum; Median; Any; All; Distinct values; Sorting; Ranking; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/122706
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Depending on conditions: a tutorial on the cond() function AgEcon
Kantor, David; Cox, Nicholas J..
This is a tutorial on the cond() function, giving explanations and examples and assessing its advantages and limitations.
Tipo: Journal Article Palavras-chave: Cond(); Functions; If command; If qualifier; Generate; Replace; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117530
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Stata tip 52: Generating composite categorical variables AgEcon
Cox, Nicholas J..
Tipo: Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/119296
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Review of Statistical Evaluation of Measurement Errors by Dunn AgEcon
Cox, Nicholas J..
This article reviews Statistical Evaluation of Measurement Errors by Dunn.
Tipo: Journal Article Palavras-chave: Measurement errors; Linear models; Mixed models; Gllamm; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116280
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Stata tip 62: Plotting on reversed scales AgEcon
Cox, Nicholas J.; Barlow, Natasha L.M..
Tipo: Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122594
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Speaking Stata: Problems with lists AgEcon
Cox, Nicholas J..
Various problems in working through lists are discussed in view of changes in Stata 8. for is now undocumented, which provokes a detailed examination of ways of processing lists in parallel with foreach, forvalues, and other devices, including new, concise ways of incrementing and decrementing macros and evaluating other expressions to do with macros in place. New features for manipulating lists held in macros and the new levels command are also reviewed.
Tipo: Journal Article Palavras-chave: Lists; For; Foreach; Forvalues; Levels; Macros; Tokenize; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116073
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Stata tip 6: Inserting awkward characters in the plot AgEcon
Cox, Nicholas J..
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116218
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Stata tip 70: Beware the evaluating equal sign AgEcon
Cox, Nicholas J..
Tipo: Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122627
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Stata tip 15: Function graphs on the fly AgEcon
Cox, Nicholas J..
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116283
Registros recuperados: 63
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