helpText('This app aims at estimating the growth rate and maximum cells density using non-linear regression.
The method is detailled in Martini et al. (2013).',
br(),
br(),
'A demo dataset is available in "Download a demo dataset", you can save it in your computer and load it using "Browse", or you can also browse your own dataset.',
br(),
br(),
'In order to run this application, you have to format your dataset with tabulation separators. Also, remove all spaces in the dataset header (prefer to use "_" when needed).
Organise your dataset so that there is only two arrays. The first one being the time and the second one, the cells density
(e. g. optic density, cell number, biomass). This application proposes a method to perform ',strong('a logistic regression'),' to estimate',strong('growth rate'),'as well as ',strong('maximum cells density'),'.'),
withMathJax(helpText('The logistic equation is defined as $$x(t) = r.x_0.(1-\\frac{x_0}K)$$'))
)
)
),
tabPanel("Uploaded data",
DT::dataTableOutput("raw_data")
),
tabPanel("Plot",
sidebarLayout(
sidebarPanel("",
textInput("xlabel","xlabel",value="Time (h)"),
textInput("ylabel","ylabel",value="Biomass"),
textInput("xmin","xmin",value=0),
textInput("xmax","xmax",value=100),
textInput("ymin","ymin",value=0),
textInput("ymax","ymax",value=100),
numericInput("test","Smooth value ranged between 0 and 1 ",value=1,min=0,max=1,step=0.01),
helpText('This App, developed in 2020, is based on a teamwork between researchers and students.
The PIs are Marc Garel (Mediterranean Institute of Oceanography/Aix-Marseille University/OSU Pytheas/CNRS) and Séverine Martini (Mediterranean Institute of Oceanography/Aix-Marseille University/OSU Pytheas/CNRS), Marthe Vienne (Bsc student) improved the app with statistical tools and Lloyd Izard (MSc Student) has been involved into the developpement of the app.'))
helpText('This app aims at estimating the growth rate and maximum cells density using non-linear regression.
The method is detailled in Martini et al. (2013).',
br(),
br(),
'A demo dataset is available in "Download a demo dataset", you can save it in your computer and load it using "Browse", or you can also browse your own dataset.',
br(),
br(),
'On Plot panel, it is possible to set axes labels, axes range and Smooth. Smooth parameter can compute theorical (downloadable) for to use with other activities.',
br(),
br(),
'In order to run this application, you have to format your dataset with tabulation separators. Also, remove all spaces in the dataset header (prefer to use "_" when needed).
Organise your dataset so that there is only two arrays. The first one being the time and the second one, the cells density
(e. g. optic density, cell number, biomass). This application proposes a method to perform ',strong('a logistic regression'),' to estimate',strong('growth rate'),'as well as ',strong('maximum cells density'),'.'),
withMathJax(helpText('The logistic equation is defined as $$x(t) = r.x_0.(1-\\frac{x_0}K)$$'))
)
)
),
tabPanel("Uploaded data",
DT::dataTableOutput("raw_data")
),
tabPanel("Plot",
sidebarLayout(
sidebarPanel("",
textInput("xlabel","xlabel",value="Time (h)"),
textInput("ylabel","ylabel",value="Biomass"),
textInput("xmin","xmin",value=0),
textInput("xmax","xmax",value=100),
textInput("ymin","ymin",value=0),
textInput("ymax","ymax",value=100),
numericInput("test","Smooth value ranged between 0 and 1 ",value=1,min=0,max=1,step=0.01),
helpText('This App, developed in 2020, is based on a teamwork between researchers and students.
The PIs are Marc Garel (Mediterranean Institute of Oceanography/Aix-Marseille University/OSU Pytheas/CNRS) and Séverine Martini (Mediterranean Institute of Oceanography/Aix-Marseille University/OSU Pytheas/CNRS), Marthe Vienne (Bsc student) improved the app with statistical tools and Lloyd Izard (MSc Student) has been involved into the developpement of the app.'))
