inst/app-olsrr/ui/ui_hetero.R
In rsquaredacademy/xplorerr: Tools for Interactive Data Exploration
tabPanel('Heteroskedasticity', value = 'tab_hetero',
fluidPage(
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Breusch Pagan Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Breusch Pagan Test'),
p('Test for constant variance. It assumes that the error terms are normally distributed.')
),
column(6, align = 'right',
actionButton(inputId='bplink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_breusch_pagan.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("het_bp_fmla", label = '', width = '870px',
value = ""),
bsTooltip("het_bp_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'bp_use_prev', label = '',
value = FALSE),
bsTooltip("bp_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('Fitted Values:')),
column(4, align = 'left',
selectInput('het_bp_fv', '', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_bp_fv", "Use fitted values of regression model.",
"left", options = list(container = "body"))
),
column(3, align = 'right', br(), h5('p Value Adjustment:')),
column(3, align = 'left',
selectInput('het_bp_padj', '',
choices = c("none", "bonferroni", "sidak", "holm"),
selected = "none"),
bsTooltip("het_bp_padj", "Options for p value adjustment.",
"bottom", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('RHS:')),
column(4, align = 'left',
selectInput('het_bp_rhs', '', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_bp_rhs", "Use explanatory variables of model.",
"left", options = list(container = "body"))
),
column(3, align = 'right', br(), h5('Variables:')),
column(3, align = 'left',
selectInput("het_bp_vars", label = '',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("het_bp_vars", "Select variables for heteroskedasticity test.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Multiple:')),
column(4, align = 'left',
selectInput('het_bp_mult', '', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_bp_mult", "Perform multiple tests.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(4, offset = 4, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_het_bp', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_het_bp", "Click here to view test results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, verbatimTextOutput('het_bp_out'))
)
)
),
tabPanel('Bartlett Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Bartlett Test'),
p('Test if k samples have equal variances.')
),
column(6, align = 'right',
actionButton(inputId='bartlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_bartlett.html', '_blank')")
)
),
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Using Variables',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('Variables:')),
column(10, align = 'left',
selectInput("var_bartest", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("var_bartest", "Select variables.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_bartest', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_levtest", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('bartest_out')
)
)
)
),
tabPanel('Using Groups',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('Variable:')),
column(2, align = 'left',
selectInput("var_bartestg1", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_bartestg1", "Select a variable.",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Grouping Variable:')),
column(2, align = 'left',
selectInput("var_bartestg2", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_bartestg2", "Select a grouping variable.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_bartestg', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_bartestg", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('bartestg_out')
)
)
)
),
tabPanel('Using Formula',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("bartest_fmla", label = '', width = '660px',
value = ""),
bsTooltip("bartest_fmla", "Specify a formula",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_bartestf', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_bartestf", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('bartestf_out')
)
)
)
)
)
)
)
)
),
tabPanel('F Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('F Test'),
p('Test for heteroskedasticity under the assumption that the errors are independent and identically distributed (i.i.d.).')
),
column(6, align = 'right',
actionButton(inputId='freglink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_f.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("het_f_fmla", label = '', width = '660px',
value = ""),
bsTooltip("het_f_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'f_use_prev', label = '',
value = FALSE),
bsTooltip("f_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('Variables:')),
column(10, align = 'left',
selectInput("het_f_vars", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("het_f_vars", "Select variables for heteroskedasticity test.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Fitted Values:')),
column(4, align = 'left',
selectInput('het_f_fv', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_f_fv", "Use fitted values of regression model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('RHS:')),
column(4, align = 'left',
selectInput('het_f_rhs', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_f_rhs", "Use explanatory variables of model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_het_f', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_het_f", "Click here to view test results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, verbatimTextOutput('het_f_out'))
)
)
),
tabPanel('Score Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Score Test'),
p('Test for heteroskedasticity under the assumption that the errors are independent and identically distributed (i.i.d.).')
),
column(6, align = 'right',
actionButton(inputId='scorelink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_score.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("het_score_fmla", label = '', width = '660px',
value = ""),
bsTooltip("het_score_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'score_use_prev', label = '',
value = FALSE),
bsTooltip("score_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('Variables:')),
column(10, align = 'left',
selectInput("het_score_vars", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("het_score_vars", "Select variables for heteroskedasticity test.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Fitted Values:')),
column(4, align = 'left',
selectInput('het_score_fv', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_score_fv", "Use fitted values of regression model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('RHS:')),
column(4, align = 'left',
selectInput('het_score_rhs', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_score_rhs", "Use explanatory variables of model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_het_score', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_het_score", "Click here to view test results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, verbatimTextOutput('het_score_out'))
)
)
)
)
)
)
)
)
rsquaredacademy/xplorerr documentation built on May 25, 2021, 6:57 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
tabPanel('Heteroskedasticity', value = 'tab_hetero',
fluidPage(
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Breusch Pagan Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Breusch Pagan Test'),
p('Test for constant variance. It assumes that the error terms are normally distributed.')
),
column(6, align = 'right',
actionButton(inputId='bplink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_breusch_pagan.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("het_bp_fmla", label = '', width = '870px',
value = ""),
bsTooltip("het_bp_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'bp_use_prev', label = '',
value = FALSE),
bsTooltip("bp_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('Fitted Values:')),
column(4, align = 'left',
selectInput('het_bp_fv', '', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_bp_fv", "Use fitted values of regression model.",
"left", options = list(container = "body"))
),
column(3, align = 'right', br(), h5('p Value Adjustment:')),
column(3, align = 'left',
selectInput('het_bp_padj', '',
choices = c("none", "bonferroni", "sidak", "holm"),
selected = "none"),
bsTooltip("het_bp_padj", "Options for p value adjustment.",
"bottom", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('RHS:')),
column(4, align = 'left',
selectInput('het_bp_rhs', '', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_bp_rhs", "Use explanatory variables of model.",
"left", options = list(container = "body"))
),
column(3, align = 'right', br(), h5('Variables:')),
column(3, align = 'left',
selectInput("het_bp_vars", label = '',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("het_bp_vars", "Select variables for heteroskedasticity test.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Multiple:')),
column(4, align = 'left',
selectInput('het_bp_mult', '', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_bp_mult", "Perform multiple tests.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(4, offset = 4, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_het_bp', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_het_bp", "Click here to view test results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, verbatimTextOutput('het_bp_out'))
)
)
),
tabPanel('Bartlett Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Bartlett Test'),
p('Test if k samples have equal variances.')
),
column(6, align = 'right',
actionButton(inputId='bartlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_bartlett.html', '_blank')")
)
),
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Using Variables',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('Variables:')),
column(10, align = 'left',
selectInput("var_bartest", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("var_bartest", "Select variables.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_bartest', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_levtest", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('bartest_out')
)
)
)
),
tabPanel('Using Groups',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('Variable:')),
column(2, align = 'left',
selectInput("var_bartestg1", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_bartestg1", "Select a variable.",
"left", options = list(container = "body"))),
column(2, align = 'right', br(), h5('Grouping Variable:')),
column(2, align = 'left',
selectInput("var_bartestg2", label = '', width = '200px',
choices = "", selected = ""),
bsTooltip("var_bartestg2", "Select a grouping variable.",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_bartestg', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_bartestg", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('bartestg_out')
)
)
)
),
tabPanel('Using Formula',
fluidPage(
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("bartest_fmla", label = '', width = '660px',
value = ""),
bsTooltip("bartest_fmla", "Specify a formula",
"left", options = list(container = "body")))
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_bartestf', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_bartestf", "Click here to view test result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center',
verbatimTextOutput('bartestf_out')
)
)
)
)
)
)
)
)
),
tabPanel('F Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('F Test'),
p('Test for heteroskedasticity under the assumption that the errors are independent and identically distributed (i.i.d.).')
),
column(6, align = 'right',
actionButton(inputId='freglink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_f.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("het_f_fmla", label = '', width = '660px',
value = ""),
bsTooltip("het_f_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'f_use_prev', label = '',
value = FALSE),
bsTooltip("f_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('Variables:')),
column(10, align = 'left',
selectInput("het_f_vars", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("het_f_vars", "Select variables for heteroskedasticity test.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Fitted Values:')),
column(4, align = 'left',
selectInput('het_f_fv', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_f_fv", "Use fitted values of regression model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('RHS:')),
column(4, align = 'left',
selectInput('het_f_rhs', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_f_rhs", "Use explanatory variables of model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_het_f', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_het_f", "Click here to view test results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, verbatimTextOutput('het_f_out'))
)
)
),
tabPanel('Score Test',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Score Test'),
p('Test for heteroskedasticity under the assumption that the errors are independent and identically distributed (i.i.d.).')
),
column(6, align = 'right',
actionButton(inputId='scorelink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_test_score.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("het_score_fmla", label = '', width = '660px',
value = ""),
bsTooltip("het_score_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'score_use_prev', label = '',
value = FALSE),
bsTooltip("score_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('Variables:')),
column(10, align = 'left',
selectInput("het_score_vars", label = '', width = '660px',
choices = "", selected = "", multiple = TRUE,
selectize = TRUE),
bsTooltip("het_score_vars", "Select variables for heteroskedasticity test.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Fitted Values:')),
column(4, align = 'left',
selectInput('het_score_fv', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_score_fv", "Use fitted values of regression model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(2, align = 'right', br(), h5('RHS:')),
column(4, align = 'left',
selectInput('het_score_rhs', '', width = '200px', choices = c("TRUE" = TRUE, "FALSE" = FALSE),
selected = "FALSE"),
bsTooltip("het_score_rhs", "Use explanatory variables of model.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_het_score', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_het_score", "Click here to view test results.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, verbatimTextOutput('het_score_out'))
)
)
)
)
)
)
)
)
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