intervals

How can I use ranges in a switch case statement using JavaScript?

强颜欢笑 提交于 2019-11-26 07:30:43
问题 How can I use ranges in a switch case statement using JavaScript? So, instead of writing code for each and every single possibility, I\'d like to group them in ranges, For example: switch(myInterval){ case 0-2: //doStuffWithFirstRange(); break; case 3-6: //doStuffWithSecondRange(); break; case 6-7: //doStuffWithThirdRange(); break; default: //doStuffWithAllOthers(); } 回答1: You have at least four options: 1. List each case As shown by LightStyle, you can list each case explicitly: switch

How can I plot data with confidence intervals?

 ̄綄美尐妖づ 提交于 2019-11-26 05:19:34
问题 If I have 10 values, each of which has a fitted value F , and an upper and lower confidence interval U and L : set.seed(0815) F <- runif(10, 1, 2) L <- runif(10, 0, 1) U <- runif(10, 2, 3) How can I show these 10 fitted values and their confidence intervals in the same plot like the one below in R? 回答1: Here is a plotrix solution: set.seed(0815) x <- 1:10 F <- runif(10,1,2) L <- runif(10,0,1) U <- runif(10,2,3) require(plotrix) plotCI(x, F, ui=U, li=L) And here is a ggplot solution: set.seed

Show TimePicker with minutes intervals in android

血红的双手。 提交于 2019-11-26 04:39:17
问题 My application show a TimePickerDialog to set a time. I want that the timePickerDialog show the minutes with an interval of 5 minutes. This works fine with this code: private final int TIME_PICKER_INTERVAL=5; private boolean mIgnoreEvent=false; … public TimePickerDialogs(Context arg0, OnTimeSetListener callBack, int hourOfDay, int minute, boolean is24HourView) { super(arg0, callBack, hourOfDay, minute, is24HourView); formato=Statics.formato; } @Override public void onTimeChanged(TimePicker

How to join two dataframes for which column values are within a certain range?

大兔子大兔子 提交于 2019-11-25 23:28:16
问题 Given two dataframes df_1 and df_2 , how to join them such that datetime column df_1 is in between start and end in dataframe df_2 : print df_1 timestamp A B 0 2016-05-14 10:54:33 0.020228 0.026572 1 2016-05-14 10:54:34 0.057780 0.175499 2 2016-05-14 10:54:35 0.098808 0.620986 3 2016-05-14 10:54:36 0.158789 1.014819 4 2016-05-14 10:54:39 0.038129 2.384590 print df_2 start end event 0 2016-05-14 10:54:31 2016-05-14 10:54:33 E1 1 2016-05-14 10:54:34 2016-05-14 10:54:37 E2 2 2016-05-14 10:54:38