Description Usage Arguments See Also
Server-side code for generic KPI gauge. Uses dplyr:: functions to figure out what percentage of users were previous aware of the product.
1 2 3 4 | userFractionGauge(input, output, session, fdat, pcol, threshold,
pos_options = "Yes", symbol = "%", title = "Indicator",
minRange = 0, maxRange = 100, reversed_values = FALSE,
reversed_colors = FALSE)
|
input |
Required for shiny modules' server functions. |
output |
Required for shiny modules' server functions. |
session |
Required for shiny modules' server functions. |
fdat |
dataframe, filtered by demographic variables and product. |
pcol |
numeric, the number of fdat's column containing the question of interest. |
threshold |
numeric, the cutoff between positive and negative colors. |
pos_options |
vector, all the strings in fdat[[pcol]] that are considered 'good' responses. |
symbol |
string, indicates unit of numeric output (eg. "%"). |
title |
string, title for gauge. |
minRange |
numeric, minimum value for gauge. |
maxRange |
numeric, maximum value for gauge. |
reversed_values |
logical, indicates whether to flip values (e.g. gauge_value <- maxRange - gauge_value ) |
reversed_colors |
logical, indicates whether low values are 'good'/green and high values are 'bad'/red or not. |
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