Our Xpage application calculates and stores foreign exchange calculations with large numbers.
Data stored in database is correct with all integer and fraction digits accounted for but when displaying in viewPanel the values are rounded to a default of three fraction digits.
How can I set this on a global basis so I won't have to change this on all views, all columns?
Example:
Value with default Number/decimal settings: 2016.667
Value with maxFractionDigits = 6: 2016.6667
When calculating large quantities of foreign exchange transactions this small rounding can result in a large amount of money…
Our customers have different needs, some would like 6 fraction digits, some 8…
We are using Domino 9.0.1 FP2…
I have asked a similar question on how the default value of fraction digits is determined but with no luck. This is a rephrase with a more specific needs and explanations…
Probably the cleanest option is to use a Converter that picks up the number of decimal places from a keyword or some other config document. Here's an example of a system-wide converter I set up to configure the date format http://openntf.org/XSnippets.nsf/snippet.xsp?id=date-converter
Related
Regarding Excel 2007 (though it may pertain to other versions):
I want to apply Excel Data Validation to manually inputted data. In this particular case, the input is of the form NN.nnnnh, where the digit "h" is a "half-digit". That is, it can either be 0 or 5.
The spread-sheet converts land-surveying that is manually entered in the form of Feet, Inches, and 16ths of an inch, into decimal feet
The function of the half-digit is to allow the optional higher-precision to 1/32nd of an inch.
For example:
43.0913 is the raw entry for 43 feet, nine inches, and 13/16ths of an inch.
Now, by adding the half-digit in the fifth decimal place, a precision of 1/32" can be expressed.
For example:
27.08135 is the manual entry for 27 feet, 08 inches, and (13.5/16=) 27/32nds of an inch.
The raw input NN.nnnnh is decomposed and converted into feet as a decimal number, using Excel TRUNC function. This manner of conversion is analogous to the more familiar conversion of angles entered as D˚M'S", into DD.dddddd).
I want to assure that the 5th decimal place, manually entered, is ONLY Zero or 5.
I can separately apply logical tests to determine if the fifth-decimal entry is Zero, or 5.
But, when I combine those separate logical tests using the =IF(OR( structure, I get inconsistent results IFF the manually-entered data has an integer value (i.e., in the NN.nnnnh format, any length of just one foot or greater, manually entered as >= 1.00000). Unless I undertake the surveying of table-top architectural scale models, this has serious limitations !!!
I have attached an example spreadsheet to illustrate the formulae used and the results. If anybody can shed some light on this, it would be appreciated.
(If there is a way to simply Attach a *.xlsx example....please let me know. I had intended to do this, and then discovered that it seems to be impossible!)
Use MROUND to test if the number is the same:
=A1=MROUND(A1,0.00005)
Given the following data for 12 users:
username, number of deals for control, revenue from test, revenue from control
Here's an example of how the data looks like
Can you help me figure out how I can calculate the significance of the hypothesis that the test is more profitable (preferably using excel)?
The measure I was thinking of using was the % of lift in revenues for each customer.
P.s. I have a background in statistics but not an expert so please keep it as simple as possible.
Since each pair of incomes refers to the same individual, you can perform a paired t-test.
Variable 1: Control income
Variable 2: Deals income
Then follow these instructions (copied here for posterity):
In Excel, click Data Analysis on the Data tab.
From the Data Analysis popup, choose t-Test: Paired Two Sample for Means.
Under Input, select the ranges for both Variable 1 and Variable 2.
In Hypothesized Mean Difference, you’ll typically enter zero. This value is the null hypothesis value, which represents no effect. In
this case, a mean difference of zero represents no difference between
the two methods, which is no effect.
Check the Labels checkbox if you have meaningful variables labels in row 1. This option helps make the output easier to interpret. Ensure
that you include the label row in step #3.
Excel uses a default Alpha value of 0.05, which is usually a good value. Alpha is the significance level. Change this value only when
you have a specific reason for doing so.
Click OK.
Alternatively, you can indeed calculate the difference between the two incomes, and then perform a one sample t-test (assuming that the difference is zero). However, such a test is not available out-of-the-box in Excel; the procedure is described here.
I have a list of dates. They're dummy data for sign up dates.
I want to add another list that is dummy data for first usage dates.
To make the dates, I used this -
=RANDBETWEEN(DATE(2017,1,1),DATE(2017,6,30))
To make the first usages dates, I'm trying this -
=C6+RANDBETWEEN(0,100)
But, I don't want to just add a random number. I want to add a number from a normal distribution with a mean of 10 and a standard deviation of 30 (without going into negatives). Is that possible?
The following will generate a random number in normal distribution with a mean of 10 and deviation of 30:
= NORM.INV(RAND(),10,30)
The easiest way I can think of to exclude negative values is to just take the absolute value of this.
= ABS(NORM.INV(RAND(),10,30))
But, as already noted, if you exclude negative numbers (no matter how you decide to exclude them), then it isn't really a normal distribution anymore.
EDIT:
Another way to exclude negative numbers is the following:
Since NORM.INV(0.37,10,30) returns a value just above 0, you can use this knowledge to change the formula to only allow random values between 0.37 and 1 to be generated:
= NORM.INV(0.63*RAND()+0.37,10,30)
However, again I must point out this isn't a true normal distribution.
By result I mean these values which are shown in this picture which are related to variables and statistics. Every time I run the model I get the results up to only 3 decimal places that I want to increase them in to 6 decimal places. I hope I could clearly state what I mean this time.
Anylogic truncates the visible value to 3 decimal places. if you want more you should read you data in some other way:
export it to a text file
output it to the console with: traceln(varname)
use the text-object to display the value
I'm creating a simple spreadsheet to calculate some betting odds and keeping track of my wins/losses
when I put fractional odds in one column Excel converts some of them to whole numbers (i.e. the ones that are 1/1, 2/1, etc where it does not do it for odds like 4/11, 7/2, etc.
Is there a way of turning this off?
Please note that some of the top heave fractions (11/2, 11/10 etc) get put into whole numbers such as 5 1/2 etc! And I do not want this to occur either
I've tried the Custom formatting of the cells but all of the denominators will inevitably be different, so having something like ??/28 won't work for me
EDIT:
This was solved using the custom format ??/?? and simply removeing the # that was at the front of the custom cell format dialog box
You simply need to change the cell format; you want to use ???/???. This will make Excel represent any decimal number to the closest fraction approximation it can find using the specified numerator and denominator significant digits (number of ? in the format string)
If the cell input is directly a fraction, it will reduce it if possible but always keeping the fraction format.
Examples:
= .10 will be converted to 1/10
= 0.1231 will be converted to 81/658 (supossing ???/??? format is used).
= 10/100 will be converted to 1/10
= 11/12 will remain as 11/12 as no reduction is possible.
= 1/1 will remain as 1/1
etc.
The behavior you are describing is becuase you are using one of Excel's default fraction formats which are all similar to # ???/??? (take note of the leading #). This format will reduce integral values to the non fractional part.
You could use text format for the cells with the odds, and then the VALUE function in any calculations you need to do with them