isoron/loop
1
1
Fork 0
mirror of https://github.com/iSoron/uhabits.git synced 2025-12-06 17:18:52 -06:00
Code Issues Packages Projects Releases Wiki Activity

Minor changes

Browse Source
This commit is contained in:
Alinson S. Xavier
2016-09-19 19:10:44 -04:00
parent 073e17c134
commit edc7f89602
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
faq.html
View File

@@ -89,9 +89,9 @@
<p>To compute the score of a habit, the app uses the statistical method known as <p>To compute the score of a habit, the app uses the statistical method known as
exponential smoothing. Basically, it computes a weighted average that takes exponential smoothing. Basically, it computes a weighted average that takes
into consideration every single repetition of the habit, from the very first into consideration every single repetition of the habit, from the very first
you started your habit until today. Recent repetitions are considered more day you started your habit until today. Recent repetitions are considered more
important than old ones, and have a larger impact on the score. This method has important than older ones, and have a larger impact on the score. This method
many nice properties, including:</p> has many nice properties, including:</p>
<ol> <ol>
<li>Every repetition counts, even way back in the past. This is not true for <li>Every repetition counts, even way back in the past. This is not true for
@@ -101,7 +101,7 @@
<li>If you have a poor habit score, then a few repetitions can bring your score <li>If you have a poor habit score, then a few repetitions can bring your score
up very quickly. As your score improves, however, the reward for each up very quickly. As your score improves, however, the reward for each
repetition gets smaller and smaller, so you have to keep at it if you want repetition gets smaller and smaller, so you have to keep at it if you want
to see any increase.</li> to see further increases.</li>
<li>If you have a high score for a very long time and you take a short break, <li>If you have a high score for a very long time and you take a short break,
it's quite easy to restore your score back to what it was. If you start it's quite easy to restore your score back to what it was. If you start
taking frequent breaks, however, then your score will suffer.</li> taking frequent breaks, however, then your score will suffer.</li>