plotESDA()
. These escaped
LaTeX specials were resulting in notes in CRAN package check results for some flavors.skewness()
: compute the moment coefficient of skewness of a
continuous, possibly non-normal variable.plotHD()
is now computed using the new function skewness()
.pedometrics-defunct.R
.\dontrun{}
. This was fixed. Now all functions
have at least one example that can be run conditionally on the availability of certain packages
or if R is being used interactively.plotCor()
required RColorBrewer::brewer.pal()
to
set the color palette. Now the color palette is hard-coded and package RColorBrewer was
thus removed from Suggests.Additional_repositories
to DESCRIPTION as a means to deal with archived
packages such as geoR and georob.cdfPlot()
,
cdfStats()
, cdfTable()
, and coordenadas()
. As a result, packages spsurvey and xtable
were removed from Suggests. The ASRtools package is available at
https://github.com/samuel-rosa/ASRtools.plotHD
and stepVIF
: reviews documentation and plans future changes.coordenadas()
, cdfTable()
, cdfStats()
and cdfPlot()
. These functions
were developed to fulfill the demands created by the PhD research project (2012-2016) and are no
longer (or rarely) used. Some will be replaced, but all will move to a package currently under
developed at https://github.com/samuel-rosa/ASRtools.Suggests
and using it conditionally by employing
requireNamespace()
.plotCor
: reverses default color ramp so that positive and negative correlations are depicted
using red and blue colors, respectively.plotHD
: adds grid lines to histogram.plotESDA
: choose the position of the legend of the bubble plotplotCor
to deal with long column names in the correlation matrix. Long column
names (> 5 characters) are now replaced with x1, x2, ..., xn, where n is the number of columns in
the correlation matrix. A message is issues identifying columns and their respective index.plotCor
, a function to create correlation plots using a colorblind-friendly palette.plotHD
.p_sill
is used when the variance is spatially uncorrelated.
It is defined as 1e-3 times the guess of nugget
(before the p_sill
was
set to 1e-12, which caused errors in optim
and nlminb
).vgmICP
caused by the recent update of package
georob.vgmICP
: Improved estimation of the scale parameter (range) for monotonous
variograms by using function practicalRange
from package geoR.vgmICP
: Improve the guess of the partial sill for a pure nugget effect
model.georob::sample.variogram
in vgmLags
was incorrect due to an error in the
documentation the former. Instead of "a numeric vector with the upper bounds
of a set of contiguous bins", the argument lag.dist.def
of
georob::sample.variogram
requires "a numeric vector with the lower and
upper bounds of a set of contiguous bins". The author and maintainer of the
georob-package has been warned about this documentation error.vgmLags
was incorrect because it neglected the fact that, in a full distance
matrix, two points a and b form two pairs, i.e. ab and ba. The mistake
is due to the fact that we use SpatialTools::dist1
to compute the distance
matrix instead of stats::dist
.vgmICP
to guess the initial covariance parameters when fitting
a variogram model.vgmLags
-function, and added functionality to
count the number of points or point-pairs per lag-distance class so that the
user can decide if the returned lag-distance classes meet his/her needs.vgmSCV
to compute the proportion of the variance that is
spatially correlated.checkGMU
which can be used to check the quality
of a geostatistical model on uncertainty.base
are now imported to
comply with the new change to the CRAN policy described at
https://developer.r-project.org/blosxom.cgi/R-devel/NEWS/2015/06/29#n2015-06-29;Imports:
field in the
DESCRIPTION
file now are under the Suggests:
field;cramer()
: NA
s are now removed when computing the chi-squared
statistic;plotHD()
: if the Box-Cox transformation is required, the data is now
first checked for zeros and negative values. If zeros and negative values
are present, the data is transformed into a positive-valued data, with
the minimum value equal to 1.plotESDA()
: new argument to define the lag-distance classes;likfit
(see the geoR
package for more info): trend.terms()
and trend.matrix()
;breakPoints()
and
stratify()
;vgmLags()
.cramer()
: the cross-tabulation is now computed using table()
instead of
bigtabulate()
to avoid dependency problems in Windows."numeric"
and "integer
.spJitter()
, spSANN()
, spsannMSSD()
, spsannPPL()
,
and spsannCLHS()
.spSANN()
, spJitter()
, and
those used as objective functions in spatial simulated annealing.spSANN()
.objPairs()
, objPoints()
, pairs_per_lag()
,
points_per_lag()
and spJitter()
. Added new criterion to objPairs()
and
objPoints()
. Added new method to spJitter()
(finite set of candidate
locations). Most of the changes speed up the functions and increase
their functionalities.objPairs()
, objPoints()
, pairs_per_lag()
and
points_per_lag()
. These functions were designed to be used with spatial
simulated annealing.spJitter()
and bbox2sp()
.plotHD()
and plotESDA()
.toar()
and readsat()
because they are better
implemented using GRASS GIS commands directly.buildMS()
, used to build a series of linear
models using automated variable selection. Included function
statsMS()
, used to obtain performance statistics of a series
of linear models. Included function plotMS()
, used to plot the
statistics of a models series. Corrected bugs detected during the
first built.cdfTable()
: added argument to return a data.frame object.cdfPlot()
: added argument to define if the confidence limits of
the CDF should be included in the plot.cdfPlot()
now has options to show CDF parameters.stepVIF()
. Renamed many of the functions to comply with
the style guide. The package was also renamed to pedometrics.readsat()
and toar()
.deltagcp()
.cdfplot()
, cdfstats()
, cdftable()
,
coordenadas()
, deltagcp()
, and gcpvector()
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