Friday, September 20, 2013

Speaking Stata of the Stata Journal

Speaking Stata of the Stata Journal

Blog: Stata Tips of The Stata Journal and Others
This column of the Stata Journal is focusing on how to improve your fluency in Stata
  1. Loops, again and again [20(4)]
  2. Is a variable constant?
  3. More ways for rowwise
  4. Concatenating values over observations
  5. Some simple devices to ease the spaghetti problem
  6. The last day of the month
  7. How best to generate indicator or dummy variables
  8. Seven steps for vexatious string variables
  9. From rounding to binning
  10. Logarithmic binning and labeling
  11. Tables as lists: The groups command
  12. Letter values as selected quantiles
  13. Shading zones on time series and other plots
  14. Multiple bar charts in table form
  15. Truth, falsity, indication, and negation
  16. A set of utilities for managing missing values 
  17. Species of origin [15(2)]
  18. Design plots for graphical summary of a response given factors
  19. Self and others
  20. Trimming to taste
  21. Creating and varying box plots: Correction
  22. Matrices as look-up tables
  23. Axis practice, or what goes where on a graph
  24. Transforming the time axis
  25. Output to order
  26. Fun and fluency with functions
  27. Compared with ...
  28. MMXI and all that: Handling Roman numerals within Stata
  29. Graphing subsets
  30. The limits of sample skewness and kurtosis
  31. findname: Finding variables
  32. statsby [subsets, total]: The statsby strategy
  33. graph twoway: Paired, parallel, or profile plots for changes, correlations, and other comparisons
  34. graph box: Creating and varying box plotsCreating and varying box plots: Correction
  35. qsbayesi, qsbayes: I. J. Good and quasi–Bayes smoothing of categorical frequencies
  36. egen, rowsort, rowranks: Rowwise
  37. distinct: Distinct observations
  38. corrci, corrcii: Correlation with confidence, or Fisher's z revisited
  39. labmask, seqvar: Between tables and graphs
  40. Spineplots and their kin
  41. egen, by: Counting groups, especially panels
  42. stem, scatter, stemplot: Turning over a new leaf
  43. egen, by: Identifying spells
  44. count: Making it count
  45. In praise of trigonometric predictors
  46. cycleplot, sliceplot: Graphs for all seasons
  47. Time of day
  48. Smoothing in various directions
  49. qplot, displot: The protean quantile plot
  50. Density probability plots
  51. modeldiag: Graphing model diagnostics
  52. Graphing agreement and disagreement
  53. Graphing categorical and compositional data
  54. Graphing distributions
  55. matrix list, list, tabdisp, tabcount, groups: Problems with tables, Part II
  56. tabulate, table, tabstat, tabdisp, list: Problems with tables, Part I
  57. for, foreach, forvalues, levels: Problems with lists
  58. egen, foreach, forvalues, reshape: On structure and shape: the case of multiple responses
  59. egen: On getting functions to do the work
  60. On numbers and strings
  61. foreach, forvalues, for: How to face lists with fortitude
  62. _n, _N: How to move step by: step
  63. How to repeat yourself without going mad [2001;1:(1)]

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