Armando B. Mendes

Rtips. Revival 2014!

Posted by Armando Brito Mendes | Filed under estatística, matemática, software

Uma animação com todos os lugares referidos numa canção de johnny cash

Montes de exemplos de R numa única longa página.

Table of Contents

Section: Original Preface

Section 1: Data Input/Output

Subsection 1.1: Bring raw numbers into R (05/22/2012)

Subsection 1.2: Basic notation on data access (12/02/2012)

Subsection 1.3: Checkout the new Data Import/Export manual (13/08/2001)

Subsection 1.4: Exchange data between R and other programs (Excel, etc) (01/21/2009)

Subsection 1.5: Merge data frames (04/23/2004)

Subsection 1.6: Add one row at a time (14/08/2000)

Subsection 1.7: Need yet another different kind of merge for data frames (11/08/2000)

Subsection 1.8: Check if an object is NULL (06/04/2001)

Subsection 1.9: Generate random numbers (12/02/2012)

Subsection 1.10: Generate random numbers with a fixed mean/variance (06/09/2000)

Subsection 1.11: Use rep to manufacture a weighted data set (30/01/2001)

Subsection 1.12: Convert contingency table to data frame (06/09/2000)

Subsection 1.13: Write: data in text file (31/12/2001)

Section 2: Working with data frames: Recoding, selecting, aggregating

Subsection 2.1: Add variables to a data frame (or list) (02/06/2003)

Subsection 2.2: Create variable names on the fly (10/04/2001)

Subsection 2.3: Recode one column, output values into another column (12/05/2003)

Subsection 2.4: Create indicator (dummy) variables (20/06/2001)

Subsection 2.5: Create lagged values of variables for time series regression (05/22/2012)

Subsection 2.6: How to drop factor levels for datasets that don’t have observations with those values? (08/01/2002)

Subsection 2.7: Select/subset observations out of a dataframe (08/02/2012)

Subsection 2.8: Delete first observation for each element in a cluster of observations (11/08/2000)

Subsection 2.9: Select a random sample of data (11/08/2000)

Subsection 2.10: Selecting Variables for Models: Don’t forget the subset function (15/08/2000)

Subsection 2.11: Process all numeric variables, ignore character variables? (11/02/2012)

Subsection 2.12: Sorting by more than one variable (06/09/2000)

Subsection 2.13: Rank within subgroups defined by a factor (06/09/2000)

Subsection 2.14: Work with missing values (na.omit, is.na, etc) (15/01/2012)

Subsection 2.15: Aggregate values, one for each line (16/08/2000)

Subsection 2.16: Create new data frame to hold aggregate values for each factor ()

Subsection 2.17: Selectively sum columns in a data frame (15/01/2012)

Subsection 2.18: Rip digits out of real numbers one at a time (11/08/2000)

Subsection 2.19: Grab an item from each of several matrices in a List (14/08/2000)

Subsection 2.20: Get vector showing values in a dataset (10/04/2001)

Subsection 2.21: Calculate the value of a string representing an R command (13/08/2000)

Subsection 2.22: Which can grab the index values of cases satisfying a test ()

Subsection 2.23: Find unique lines in a matrix/data frame (31/12/2001)

Section 3: Matrices and vector operations

Subsection 3.1: Create a vector, append values (01/02/2012)

Subsection 3.2: How to create an identity matrix? (16/08/2000)

Subsection 3.3: Convert matrix m to one long vector (11/08/2000)

Subsection 3.4: Creating a peculiar sequence (1 2 3 4 1 2 3 1 2 1) (11/08/2000)

Subsection 3.5: Select every n’th item (14/08/2000)

Subsection 3.6: Find index of a value nearest to 1.5 in a vector (11/08/2000)

Subsection 3.7: Find index of nonzero items in vector (18/06/2001)

Subsection 3.8: Find index of missing values (15/08/2000)

Subsection 3.9: Find index of largest item in vector (16/08/2000)

Subsection 3.10: Replace values in a matrix (22/11/2000)

Subsection 3.11: Delete particular rows from matrix (06/04/2001)

Subsection 3.12: Count number of items meeting a criterion (01/05/2005)

Subsection 3.13: Compute partial correlation coefficients from correlation matrix ()

Subsection 3.14: Create a multidimensional matrix (R array) (20/06/2001)

Subsection 3.15: Combine a lot of matrices (20/06/2001)

Subsection 3.16: Create neighbor matrices according to specific logics (20/06/2001)

Subsection 3.17: Matching two columns of numbers by a key variable (20/06/2001)

Subsection 3.18: Create Upper or Lower Triangular matrix (06/08/2012)

Subsection 3.19: Calculate inverse of X (12/02/2012)

Subsection 3.20: Interesting use of Matrix Indices (20/06/2001)

Subsection 3.21: Eigenvalues example (20/06/2001)

Section 4: Applying functions, tapply, etc

Subsection 4.1: Return multiple values from a function (12/02/2012)

Subsection 4.2: Grab ‘‘p’’ values out of a list of significance tests (22/08/2000)

Subsection 4.3: ifelse usage (12/02/2012)

Subsection 4.4: Apply to create matrix of probabilities, one for each cell (14/08/2000)

Subsection 4.5: Outer. (15/08/2000)

Subsection 4.6: Check if something is a formula/function (11/08/2000)

Subsection 4.7: Optimize with a vector of variables (11/08/2000)

Subsection 4.8: slice.index, like in S+ (14/08/2000)

Section 5: Graphing

Subsection 5.1: Adjust features with par before graphing (18/06/2001)

Subsection 5.2: Save graph output (03/21/2014)

Subsection 5.3: How to automatically name plot output into separate files (10/04/2001)

Subsection 5.4: Control papersize (15/08/2000)

Subsection 5.5: Integrating R graphs into documents: LaTeX and EPS or PDF (20/06/2001)

Subsection 5.6: ‘‘Snapshot’’ graphs and scroll through them (31/12/2001)

Subsection 5.7: Plot a density function (eg. Normal) (22/11/2000)

Subsection 5.8: Plot with error bars (11/08/2000)

Subsection 5.9: Histogram with density estimates (14/08/2000)

Subsection 5.10: How can I ‘‘overlay’’ several line plots on top of one another? (09/29/2005)

Subsection 5.11: Create ‘‘matrix’’ of graphs (18/06/2001)

Subsection 5.12: Combine lines and bar plot? (07/12/2000)

Subsection 5.13: Regression scatterplot: add fitted line to graph (03/20/2014)

Subsection 5.14: Control the plotting character in scatterplots? (11/08/2000)

Subsection 5.15: Scatterplot: Control Plotting Characters (men vs women, etc)} (11/11/2002)

Subsection 5.16: Scatterplot with size/color adjustment (12/11/2002)

Subsection 5.17: Scatterplot: adjust size according to 3rd variable (06/04/2001)

Subsection 5.18: Scatterplot: smooth a line connecting points (02/06/2003)

Subsection 5.19: Regression Scatterplot: add estimate to plot (18/06/2001)

Subsection 5.20: Axes: controls: ticks, no ticks, numbers, etc (22/11/2000)

Subsection 5.21: Axes: rotate labels (06/04/2001)

Subsection 5.22: Axes: Show formatted dates in axes (06/04/2001)

Subsection 5.23: Axes: Reverse axis in plot (12/02/2012)

Subsection 5.24: Axes: Label axes with dates (11/08/2000)

Subsection 5.25: Axes: Superscript in axis labels (11/08/2000)

Subsection 5.26: Axes: adjust positioning (31/12/2001)

Subsection 5.27: Add ‘‘error arrows’’ to a scatterplot (30/01/2001)

Subsection 5.28: Time Series: how to plot several ‘‘lines’’ in one graph? (06/09/2000)

Subsection 5.29: Time series: plot fitted and actual data (11/08/2000)

Subsection 5.30: Insert text into a plot (22/11/2000)

Subsection 5.31: Plotting unbounded variables (07/12/2000)

Subsection 5.32: Labels with dynamically generated content/math markup (16/08/2000)

Subsection 5.33: Use math/sophisticated stuff in title of plot (11/11/2002)

Subsection 5.34: How to color-code points in scatter to reveal missing values of 3rd variable? (15/08/2000)

Subsection 5.35: lattice: misc examples (12/11/2002)

Subsection 5.36: Make 3d scatterplots (11/08/2000)

Subsection 5.37: 3d contour with line style to reflect value (06/04/2001)

Subsection 5.38: Animate a Graph! (13/08/2000)

Subsection 5.39: Color user-portion of graph background differently from margin (06/09/2000)

Subsection 5.40: Examples of graphing code that seem to work (misc) (11/16/2005)}

Section 6: Common Statistical Chores

Subsection 6.1: Crosstabulation Tables (01/05/2005)

Subsection 6.2: t-test (18/07/2001)

Subsection 6.3: Test for Normality (31/12/2001)

Subsection 6.4: Estimate parameters of distributions (12/02/2012)

Subsection 6.5: Bootstrapping routines (14/08/2000)

Subsection 6.6: BY subgroup analysis of data (summary or model for subgroups)(06/04/2001)

Section 7: Model Fitting (Regression-type things)

Subsection 7.1: Tips for specifying regression models (12/02/2002)

Subsection 7.2: Summary Methods, grabbing results inside an output object

Subsection 7.3: Calculate separate coefficients for each level of a factor (22/11/2000)

Subsection 7.4: Compare fits of regression models (F test subset B’s =0) (14/08/2000)

Subsection 7.5: Get Predicted Values from a model with predict() (11/13/2005)

Subsection 7.6: Polynomial regression (15/08/2000)

Subsection 7.7: Calculate p value for an F stat from regression (13/08/2000)

Subsection 7.8: Compare fits (F test) in stepwise regression/anova (11/08/2000)

Subsection 7.9: Test significance of slope and intercept shifts (Chow test?)

Subsection 7.10: Want to estimate a nonlinear model? (11/08/2000)

Subsection 7.11: Quasi family and passing arguments to it. (12/11/2002)

Subsection 7.12: Estimate a covariance matrix (22/11/2000)

Subsection 7.13: Control number of significant digits in output (22/11/2000)

Subsection 7.14: Multiple analysis of variance (06/09/2000)

Subsection 7.15: Test for homogeneity of variance (heteroskedasticity) (12/02/2012)

Subsection 7.16: Use nls to estimate a nonlinear model (14/08/2000)

Subsection 7.17: Using nls and graphing things with it (22/11/2000)

Subsection 7.18: and hypo tests (22/11/2000)

Subsection 7.19: logistic regression with repeated measurements (02/06/2003)

Subsection 7.20: Logit (06/04/2001)

Subsection 7.21: Random parameter (Mixed Model) tips (01/05/2005)

Subsection 7.22: Time Series: basics (31/12/2001)

Subsection 7.23: Time Series: misc examples (10/04/2001)

Subsection 7.24: Categorical Data and Multivariate Models (04/25/2004)

Subsection 7.25: Lowess. Plot a smooth curve (04/25/2004)

Subsection 7.26: Hierarchical/Mixed linear models. (06/03/2003)

Subsection 7.27: Robust Regression tools (07/12/2000)

Subsection 7.28: Durbin-Watson test (10/04/2001)

Subsection 7.29: Censored regression (04/25/2004)

Section 8: Packages

Subsection 8.1: What packages are installed on Paul’s computer?

Subsection 8.2: Install and load a package

Subsection 8.3: List Loaded Packages

Subsection 8.4: Where is the default R library folder? Where does R look for packages in a computer?

Subsection 8.5: Detach libraries when no longer needed (10/04/2001)

Section 9: Misc. web resources

Subsection 9.1: Navigating R Documentation (12/02/2012)

Subsection 9.2: R Task View Pages (12/02/2012)

Subsection 9.3: Using help inside R(13/08/2001)

Subsection 9.4: Run examples in R (10/04/2001)

Section 10: R workspace

Subsection 10.1: Writing, saving, running R code (31/12/2001)

Subsection 10.2: .RData, .RHistory. Help or hassle? (31/12/2001)

Subsection 10.3: Save & Load R objects (31/12/2001)

Subsection 10.4: Reminders for object analysis/usage (11/08/2000)

Subsection 10.5: Remove objects by pattern in name (31/12/2001)

Subsection 10.6: Save work/create a Diary of activity (31/12/2001)

Subsection 10.7: Customized Rprofile (31/12/2001)

Section 11: Interface with the operating system

Subsection 11.1: Commands to system like change working directory (22/11/2000)

Subsection 11.2: Get system time. (30/01/2001)

Subsection 11.3: Check if a file exists (11/08/2000)

Subsection 11.4: Find files by name or part of a name (regular expression matching) (14/08/2001)

Section 12: Stupid R tricks: basics you can’t live without

Subsection 12.1: If you are asking for help (12/02/2012)

Subsection 12.2: Commenting out things in R files (15/08/2000)

Section 13: Misc R usages I find interesting

Subsection 13.1: Character encoding (01/27/2009)

Subsection 13.2: list names of variables used inside an expression (10/04/2001)

Subsection 13.3: R environment in side scripts (10/04/2001)

Subsection 13.4: Derivatives (10/04/2001)

Tags: análise de dados, Estat Descritiva, inferência, R-software, software estatístico

Permalink | May 30th, 2015

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