Functions to employ many of the tools and techniques used in the field of pedometrics.

Author | Alessandro Samuel-Rosa [aut, cre], LĂșcia Anjos [ths], Gustavo Vasques [ths], Gerard Heuvelink [ths], Tony Olsen [ctb], Tom Kincaid [ctb], Juan Carlos Ruiz Cuetos [ctb], Maria Eugenia Polo Garcia [ctb], Pablo Garcia Rodriguez [ctb], Joshua French [ctb], Ken Kleinman [ctb], Dick Brus [ctb], Frank Harrell Jr [ctb], Ruo Xu [ctb] |

Date of publication | 2015-12-03 23:20:20 |

Maintainer | Alessandro Samuel-Rosa <alessandrosamuelrosa@gmail.com> |

License | GPL (>= 2) |

Version | 0.6-6 |

https://github.com/samuel-rosa/pedometrics |

**adjR2:** Adjusted coefficient of determination

**bbox2sp:** Create Spatial object from a bounding box

**buildMS:** Build a series of linear models using automated variable...

**cdfPlot:** Plot estimated cumulative distribution function with...

**cdfStats:** Descriptive statistics of the cumulative distribution...

**cdfTable:** Table with descriptive statistics of an estimated cumulative...

**checkGMU:** Evaluation of geostatistical models of uncertainty

**cont2cat:** Stratification and categorization of continuous data

**coordenadas:** Prepare object for argument 'design' of 'spsurvey.analysis()'

**cramer:** Association between categorical variables

**gcpDiff:** Difference on xyz coordinates between ground control points

**gcpVector:** Calculate module and azimuth

**numint:** Tests for data types

**optimRandomForest:** Optimum number of iterations to de-bias a random forest...

**pedometrics-package:** Pedometric Tools and Techniques

**plotESDA:** Plots for exploratory spatial data analysis (ESDA)

**plotHD:** Histogram and density plot

**plotMS:** Model series plot

**rowMinCpp:** Return the minimum value in each row of a numeric matrix

**statsMS:** Obtain performance statistics of a series of linear models

**stepVIF:** Variable selection using the variance-inflation factor

**trend:** Extract spatial trend data

**vgmICP:** Initial covariance parameters (ICP)

**vgmLags:** Lag-distance classes for variogram estimation

**vgmSCV:** Spatially correlated variance (SCV)

pedometrics

pedometrics/src

pedometrics/src/rowMinCpp.cpp

pedometrics/src/RcppExports.cpp

pedometrics/NAMESPACE

pedometrics/R

pedometrics/R/trend.R
pedometrics/R/cont2cat.R
pedometrics/R/buildMS.R
pedometrics/R/coordenadas.R
pedometrics/R/vgmSCV.R
pedometrics/R/cdfTable.R
pedometrics/R/bbox2sp.R
pedometrics/R/gcpVector.R
pedometrics/R/checkGMU.R
pedometrics/R/vgmICP.R
pedometrics/R/cramer.R
pedometrics/R/plotHD.R
pedometrics/R/RcppExports.R
pedometrics/R/numint.R
pedometrics/R/optimRandomForest.R
pedometrics/R/plotMS.R
pedometrics/R/cdfStats.R
pedometrics/R/vgmLags.R
pedometrics/R/plotESDA.R
pedometrics/R/stepVIF.R
pedometrics/R/pedometrics.R
pedometrics/R/AAAA.R
pedometrics/R/adjR2.R
pedometrics/R/cdfPlot.R
pedometrics/R/statsMS.R
pedometrics/R/gcpDiff.R
pedometrics/MD5

pedometrics/DESCRIPTION

pedometrics/man

pedometrics/man/checkGMU.Rd
pedometrics/man/stepVIF.Rd
pedometrics/man/cdfTable.Rd
pedometrics/man/vgmLags.Rd
pedometrics/man/plotMS.Rd
pedometrics/man/buildMS.Rd
pedometrics/man/adjR2.Rd
pedometrics/man/cdfStats.Rd
pedometrics/man/gcpVector.Rd
pedometrics/man/trend.Rd
pedometrics/man/numint.Rd
pedometrics/man/rowMinCpp.Rd
pedometrics/man/pedometrics-package.Rd
pedometrics/man/gcpDiff.Rd
pedometrics/man/bbox2sp.Rd
pedometrics/man/cramer.Rd
pedometrics/man/plotESDA.Rd
pedometrics/man/vgmICP.Rd
pedometrics/man/cont2cat.Rd
pedometrics/man/plotHD.Rd
pedometrics/man/cdfPlot.Rd
pedometrics/man/statsMS.Rd
pedometrics/man/optimRandomForest.Rd
pedometrics/man/coordenadas.Rd
pedometrics/man/vgmSCV.Rd
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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