R/GlobalVariables.R

In AutoPlots: Creating Echarts Visualizations as Easy as Possible

# AutoQuant is a package for quickly creating high quality visualizations under a common and easy api.
# Copyright (C) <year>  <name of author>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

utils::globalVariables(
  names = c(
    "1 - Specificity",
    "Adrian",
    "Appointments",
    "Buckets",
    "CalendarDateColumn",
    "ClassWeights",
    "CohortDateColumn",
    "CohortDays",
    "Comment",
    "CostMatrixWeights",
    "Date",
    "DateTime",
    "FP",
    "Gain",
    "GroupVariables",
    "GroupVars",
    "Importance",
    "Independent_Variable1",
    "Independent_Variable10",
    "Independent_Variable2",
    "Independent_Variable3",
    "Independent_Variable4",
    "Independent_Variable5",
    "Independent_Variable6",
    "Independent_Variable7",
    "Independent_Variable8",
    "Independent_Variable9",
    "Leads",
    "Level",
    "Lift",
    "Mean.X",
    "Measure_Variable",
    "Measures",
    "MethodName",
    "Metric",
    "ModelID",
    "N",
    "NegScore",
    "Normal Line",
    "NormalizedStatistics",
    "NumNull",
    "P_Predicted",
    "Percentile",
    "Plot.Polar",
    "Population",
    "Proportion in Target",
    "Rates",
    "RowSum",
    "Sales",
    "SaveModelObjects",
    "Specificity",
    "TEMPDATE",
    "TP",
    "Target - Predicted",
    "TargetColumnName",
    "Theoretical Quantiles",
    "TimeLine",
    "TrainOnFull",
    "ValidationData",
    "Weights",
    "Y_Scroll",
    "V1",
    "ZVar",
    "classPredict",
    "i.Metric",
    "metadata_path",
    "model_path",
    "size_vals",
    "spearman",
    "temp__",
    "temp_i",
    "x1",
    "x2",
    "xx"
  )
)