Update README

2 files changed, 59 insertions, 19 deletions

diff --git a/README.Rmd b/README.Rmd
index f56e18c..9424e56 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -13,8 +13,37 @@ knitr::opts_chunk$set(
 
 # Rnaught <a href="https://MI2YorkU.github.io/Rnaught"><img src="man/figures/logo.svg" align="right" height="139" alt="Rnaught Logo"></a>
 
-Rnaught is an R package and web application for estimating the
-[basic reproduction number (_R_~0~)](
-https://en.wikipedia.org/wiki/Basic_reproduction_number) of infectious diseases.
+Rnaught is an R package and web application for estimating the [basic
+reproduction number
+(*R*<sub>0</sub>)](https://en.wikipedia.org/wiki/Basic_reproduction_number)
+of infectious diseases.
 
-In progress...
+Currently, this estimation can be done in the web application via four
+different methods: White and Panago (WP), sequential Bayes (seqB),
+incidence decay (ID), and incidence decay and exponential adjustment
+(IDEA).
+
+Datasets can be uploaded as a .csv file, or can be entered manually into
+the application. The data is visualized in the application through plots
+that show the case counts (either weekly or daily). If multiple datasets
+are uploaded/manually entered, the trends corresponding to these
+datasets are populated in the same plot and can be compared. This plot
+can be exported as a .png file. Further, the dataset entered can be
+exported into a .csv file. Two sample datasets are included: weekly
+Canadian COVID-19 case count data from March 3rd, 2020 to March 31st,
+2020, and weekly Ontario COVID-19 case count data from March 3rd, 2020
+to March 31st, 2020.
+
+To estimate the basic reproductive number, the user can choose their
+preferred estimator, and if applicable, must enter the known serial
+interval prior to estimation. If multiple estimates of the basic
+reproductive number are calculated, they are all included in a table
+where each row represents an estimate. If multiple datasets are being
+considered, the basic reproductive number is estimated for all datasets
+and the columns of the table correspond to the different datasets
+uploaded into the application. The table also consists of a column
+corresponding to the value of the [serial interval
+(SI)](https://en.wikipedia.org/wiki/Serial_interval). This table can be
+exported as a .csv file.
+
+In progress…
diff --git a/README.md b/README.md
index 2fddfa2..5eb0549 100644
--- a/README.md
+++ b/README.md
@@ -8,21 +8,32 @@ reproduction number
 (*R*<sub>0</sub>)](https://en.wikipedia.org/wiki/Basic_reproduction_number)
 of infectious diseases.
 
-Currently, this estimation can be done in the web application via four different methods: 
-White and Panago (WP), sequential Bayes (seqB), incidence decay (ID), and incidence decay and exponential adjustment (IDEA).
+Currently, this estimation can be done in the web application via four
+different methods: White and Panago (WP), sequential Bayes (seqB),
+incidence decay (ID), and incidence decay and exponential adjustment
+(IDEA).
 
-Datasets can be uploaded as a .csv file, or can be entered manually into the application.
-The data is visualized in the application through plots that show the case counts (either weekly or daily).
-If multiple datasets are uploaded/manually entered, the trends corresponding to these datasets are populated in the same plot and can be compared.
-This plot can be exported as a .png file.
-Further, the dataset entered can be exported into a .csv file.
-Two sample datasets are included: weekly Canadian COVID-19 case count data from March 3rd, 2020 to March 31st, 2020, and weekly Ontario COVID-19 case count data from March 3rd, 2020 to March 31st, 2020.
+Datasets can be uploaded as a .csv file, or can be entered manually into
+the application. The data is visualized in the application through plots
+that show the case counts (either weekly or daily). If multiple datasets
+are uploaded/manually entered, the trends corresponding to these
+datasets are populated in the same plot and can be compared. This plot
+can be exported as a .png file. Further, the dataset entered can be
+exported into a .csv file. Two sample datasets are included: weekly
+Canadian COVID-19 case count data from March 3rd, 2020 to March 31st,
+2020, and weekly Ontario COVID-19 case count data from March 3rd, 2020
+to March 31st, 2020.
 
-To estimate the basic reproductive number, the user can choose their preferred estimator, and if applicable, must enter the known serial interval prior to estimation.
-If multiple estimates of the basic reproductive number are calculated, they are all included in a table where each row represents an estimate.
-If multiple datasets are being considered, the basic reproductive number is estimated for all datasets and the columns of the table correspond to the different datasets uploaded into the application.
-The table also consists of a column corresponding to the value of the [serial interval
-(SI)](https://en.wikipedia.org/wiki/Serial_interval). 
-This table can be exported as a .csv file. 
+To estimate the basic reproductive number, the user can choose their
+preferred estimator, and if applicable, must enter the known serial
+interval prior to estimation. If multiple estimates of the basic
+reproductive number are calculated, they are all included in a table
+where each row represents an estimate. If multiple datasets are being
+considered, the basic reproductive number is estimated for all datasets
+and the columns of the table correspond to the different datasets
+uploaded into the application. The table also consists of a column
+corresponding to the value of the [serial interval
+(SI)](https://en.wikipedia.org/wiki/Serial_interval). This table can be
+exported as a .csv file.
 
-In progress...
+In progress…