tabPanel('Variable Contribution', value = 'tab_regvarcont',
fluidPage(
fluidRow(
column(12,
tabsetPanel(type = 'tabs',
tabPanel('Added Variable Plot',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Added Variable Plot'),
p('Added variable plot provides information about the marginal
importance of a predictor variable, given the other predictor
variables already in the model. It shows the marginal importance
of the variable in reducing the residual variability.')
),
column(6, align = 'right',
actionButton(inputId='advarlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_plot_added_variable.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("avplot_fmla", label = '', width = '660px',
value = ""),
bsTooltip("avplot_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 = 'advar_use_prev', label = '',
value = FALSE),
bsTooltip("advar_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_avplot', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_avplot", "Click here to view added variable plot.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center', verbatimTextOutput('avplotdata'))
),
fluidRow(
br(),
column(12, align = 'center', plotOutput('avplot'))
)
)
),
tabPanel('Residual Plus Component Plot',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Residual Plus Component Plot'),
p('The residual plus component plot indicates whether any
non-linearity is present in the relationship between
response and predictor variables and can suggest possible
transformations for linearizing the data.')
),
column(6, align = 'right',
actionButton(inputId='regcprp1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_plot_comp_plus_resid.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("cprp_fmla", label = '', width = '660px',
value = ""),
bsTooltip("cprp_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 = 'cprp_use_prev', label = '',
value = FALSE),
bsTooltip("cprp_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_cprp_plot', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_cprp_plot", "Click here to view regression result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center', plotOutput('cprplot'))
)
)
),
tabPanel('Residual vs Regressor Plot',
fluidPage(
br(),
fluidRow(
column(6, align = 'left',
h4('Residual vs Regressor Plot'),
p('Graph to determine whether we should add a new predictor
to the model already containing other predictors. The residuals
from the model is regressed on the new predictor and if the plot
shows non random pattern, you should consider adding the new
predictor to the model.')
),
column(6, align = 'right',
actionButton(inputId='rvsrlink1', label="Help", icon = icon("question-circle"),
onclick ="window.open('https://olsrr.rsquaredacademy.com/reference/ols_plot_resid_regressor.html', '_blank')")
)
),
hr(),
fluidRow(
column(2, align = 'right', br(), h5('Model Formula:')),
column(10, align = 'left',
textInput("resreg_fmla", label = '', width = '660px',
value = ""),
bsTooltip("resreg_fmla", "Specify model formula",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Select Regressor:')),
column(2, align = 'left',
selectInput('resreg_var', 'Select Variable',
choices = "", selected = ""),
bsTooltip("resreg_var", "Select a variable not in the model.",
"left", options = list(container = "body")))
),
fluidRow(
column(2, align = 'right', br(), h5('Use previous model:')),
column(2, align = 'left', br(),
checkboxInput(inputId = 'resreg_use_prev', label = '',
value = FALSE),
bsTooltip("resreg_use_prev", "Use model from Regression Tab.",
"left", options = list(container = "body"))
)
),
fluidRow(
column(12, align = 'center',
br(),
br(),
actionButton(inputId = 'submit_resreg_plot', label = 'Submit', width = '120px', icon = icon('check')),
bsTooltip("submit_resreg_plot", "Click here to view regression result.",
"bottom", options = list(container = "body")))
),
fluidRow(
br(),
column(12, align = 'center', plotOutput('rvsrplot'))
)
)
)
)
)
)
)
)
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