Function reference • financialDataAnalysis

Financial Data Analysis

Run the app

financialDataAnalysis(): Run the 'financialDataAnalysis' app

ui(): Main UI

server(): Main server

Home

The home page, with basic information about the application.

Modules

home_ui(): Introduction to the application

Input Data

Allows the user to input files and converts them to data frames.

Modules

data_input_ui() data_input_server(): Upload data

Functions

input_data(): Convert a set of files into a data frame

Create scores

Allows the user to create, edit and delete score specifications.

Modules

create_scores_ui() create_scores_server(): Create score specifications

score_type_ui() score_type_server(): Input the type of a score.

universal_score_ui() universal_score_server(): Input the score arguments that are universal.

linear_score_ui() linear_score_server(): Input the arguments specific to a linear score.

peak_score_ui() peak_score_server(): Input the arguments specific to a peak score

custom_score_ui() custom_score_server(): Input custom coordinates to create a custom score

custom_row_ui() custom_row_server(): Input a set of coordinates for a custom score

exponential_score_ui() exponential_score_server(): Input the exponential transformation arguments

col_summary_ui() col_summary_server(): View a text summary of a column

editing_ui() editing_server(): Display which score the user is editing

scores_table_ui() scores_table_server(): View the table of scores

score_summary_ui() score_summary_server(): View a graphical summary of a score

Functions

create_score(): Create or edit a score specification

delete_scores(): Remove one or more score specifications

apply_scores(): Create a set of scores

score_final(): Calculate a final score

col_summary(): Generate a summary of a column

score_summary(): Generate a summary of a score

View Data

Allows the user to view, filter and sort their scored data.

Modules

view_data_ui() view_data_server(): Filter, sort and view scored data

create_filter_ui() create_filter_server(): Create a filter

filters_ui() filters_server(): Edit a set of numeric filters

filter_ui() filter_server(): Edit a single numeric filter

data_ui() data_server(): View a data frame.

Functions

add_filter(): Add a filter to a table of filters

edit_filter(): Edit a filter in a table of filters

remove_filter(): Remove a filter from a table of filters

apply_filters(): Apply a table of filters to a data frame.

sort_df(): Sort a data frame by one of its columns

Forecast Prices

Allows the user to search for and predict the price of a set of stocks.

Modules

forecast_price_ui() forecast_price_server(): Select and forecast stocks

search_bar_ui() search_bar_server(): Search and select a stock.

stock_summary_ui() stock_summary_server(): View a summary of a selected stock

predict_price_ui() predict_price_server(): Generate stock price predictions

Functions

search_stocks(): Search through stocks

stock_summary(): Create a summary of a stock

predict_price(): Predict the price of a stock over time

plot_predictions(): Plot price predictions

Plot data

Allows the user to create a variety of plots

Modules

plot_data_ui() plot_data_server(): Create a variety of plots

score_performance_ui() score_performance_server(): Input a column to generate a score performance plot

correlation_plot_ui() correlation_plot_server(): Decide whether to show text in a correlation heatmap plot

custom_plot_ui() custom_plot_server(): Input the arguments for a custom plot

line_graph_ui() line_graph_server() scatter_graph_ui() scatter_graph_server() histogram_ui() histogram_server() smooth_graph_ui() smooth_graph_server() area_graph_ui() area_graph_server() histogram_ui() histogram_server(): Input arguments for different custom plots

plot_ui() plot_server(): Create and display a plot

Functions

score_distributions(): Plot the spread of a set of scores

score_performance(): Compare a set of scores to a column

correlation_plot(): See the measure of correlation between each column in a data frame

custom_plot(): Create a customisable plot

print_plot(): Safely print a plot

Settings

Allows the user to specify a set of settings

Modules

settings_ui() settings_server(): Specify various site settings

Other functions

fDA_dependencies(): Dependencies

download_df(): Write a data frame to a file

favourite_stock(): Mark a stock as a 'favourite'

get_scores(): Get the created scores from a scored data frame.

Datasets

default_stock_data: A large table of stock data

daily_training_data monthly_training_data: Stock price training data

scores_init: A table of score specifications

filters_init: A table of filters

Models

The predictive models used to predict stock prices.

daily_prophet_model monthly_prophet_model: Predict the price of a stock over time

get_lightgbm_model(): Model the residuals of stock price predictions.