Final Review for Stat 133: Spring 2011
- R
- understand scalars, vectors, matrices
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subscripting, single and double brackets
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aggregate function
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table function
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writing R functions
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character functions: substring, nchar, sub, gsub, etc.
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missing values
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reading data (scan, readLines)
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creating data frames (read.table, read.csv, etc.)
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Plotting : line plots, point plots
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using color with plots
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Creating Maps
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Dates
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Regular Expressions
- special characters
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grep, gregexpr, sub, gsub
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Cluster Analysis
- distance matrices
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standardization
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cuttree
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techniques: kmeans, pam, hclust, agnes
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XML
- opening and closing tags
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attributes
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extracting values from XML in R
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Classification
- methods: kth Nearest Neighbor, linear discriminant, recursive partitioning
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Cross Validation
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Lattice Graphics
- custom panel functions
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Univariate Displays: dotplot, bwplot, densityplot, histogram, barchart
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Bivariate Displays: xyplot
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conditioning and grouping variables
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MySQL
- SELECT statement
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AS operator
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WHERE clause
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GROUP BY clause
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ORDER BY clause
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LIMIT clause
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aggregation functions AVG, MIN, MAX, SUM, COUNT, etc.
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Hypothesis Testing
- Assumptions of the test
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Null and alternative hypotheses
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basic concepts: type 1 and type 2 error
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Power
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t-tests
- Hypothesis being tested
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t-tests in R
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GUIs
- Widgets, Packing, callbacks
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Global Variables
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CGI Programming
- Combo Forms
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action= argument
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CGI variables
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hidden variables
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formdata
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Smoothers
- methods: Kernel Smoothers, lowess, spline, supersmoother
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Linear Regression
- Using the lm command
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Extracting information from the model object
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Display coefficient estimates and t-tests
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Generalized Additive Models
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Recursive Partitioning
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Analysis of Variance
- formula notation
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use of factors
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interactions: categorical by categorical, categorical by continuous
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aov and anova commands
File translated from
TEX
by
TTH,
version 3.67.
On 5 May 2011, 16:44.