I am trying to do a split expenses in libreoffice calc and I have referred to others people template. However, my LibreOffice Calc keeps showing error of "#value!".
=SUM(IF(NOT(ISBLANK(K5:K55)),(1/$H$5:$H$55)*$D$5:$D$55))-SUMIF($F$5:$F$55,K4,$D$5:$D$55)
It seems that you want an array operation. Finish the edit of the formula with Ctrl-Shift-Enter, see Array Functions.
Related
This is a question that has been answered in context to R, so I should have a similar solution. The problem is, my code works in R but not in Shiny ?
error source
for(i in 1:N)
{
rank_free_choice<- rank_free_choice_fn(signal_agent[i], M, gamma, omega, K,m)
website_choice<- website_choice_fn(rank_data_today,alpha,rank_free_choice)
t1<- ranking_algo_fn(rank_data_today, website_choice, kappa)
rank_data_today<- t1
df_website_choice[i,]<- website_choice
df_rank_data[i,]<- rank_data_today
}
Both matrices are initialized before the loop begins, and rank_data_today was also created before.
The function continues further, and multiple outputs are put together in a list before returning it outside the function.
Curiously I have another app that runs this code similarly, and that works fine!! In that one the initial rank data is passed to df_rank_data[i,] and the updated are passed to df_rank_data[i+1,]
Anybody with a solution? Or perhaps could explain this answer in my context?
I figured it out, and since the problem was so bizarre, I'm posting it here in case anyone else runs into a similar problem.
The reason the code wasn't working was because one of the inputs to the function was missing in Shiny!!!!!
So basically it was a plain and simple typo/carelessness but the error didn't really help.
The Shiny app is just a wrapper around a simulation I wrote in R that used functions, taking inputs from other functions. The error only showed up in the penultimate function [No real way to trace it]
It was working in R because I didn't have to separately input any values as I'd already saved the code.
Basically, I want to write a program to transform R code into Latex formulas. For example, I want to build some sort of converter where, when I have, as input, mean(x) it will return $\frac{1}{n}\sum_{i=1}^{n} x_{i}$ - latex code for the formula. I would to this for a group of formulas I have to basically make my job easier.
Although this might be some work, I would still like to do it. Basically I would tell the program to return $\frac{1}{n}\sum_{i=1}^{n} everytime he finds the word mean; to, by default, transform x into x_{i}, this type of thing.
What language should I use to build such a program? Or does this already exist? I've looked online and found nothing of the sort... Would you say this is extremely difficult to do?
Thanks everyone!
I am trying to do apriori association mining with WEKA (i use 3.7) using given database table
So, i exported two columns (orderLineNumber and productCode) and load it into weka, as far as i go, i haven't got any success attempt, always ended with "No large itemsets and rules found!"
Again, i tried to convert the csv into ARFF file first using ARFF Converter and still get the same message;
I also tried using database loader in WEKA, the data loaded just fine but still give the same result;
The filter i've applied in preprocessing is only numericToNominal filter;
What have i wrongly done here, i suspiciously think it was my ARFF format though, thank you
Update
After further trial, i found out that i exported wrong column and i lack 1 filter process, which is "denormalized", i installed the plugin via packet manager and denormalized my data after converting it to nominal first;
I then compared the results with "Supermarket" sample's result; The only difference are my output came with 'f' instead of 't' (like shown below) and the confidence value seems like always 100%;
First of all, OrderLine is the wrong column.
Obviously, the position on the printed bill is not very important.
Secondly, the file format is not appropriate.
You want one line for every order, one column for every possible item in the #data section. To save memory, it may be helpful to use sparse formats (do not forget to set flags appropriately)
Other tools like ELKI can process input formats like this, that may be easier to use (it also was a lot faster than Weka):
apple banana
milk diapers beer
but last I checked, ELKI would "only" find frequent itemsets (the harder part) not compute association rules. I then used a tiny python script to produce actual association rules as desired.
This sounds like a silly question, but I really can't find an answer around.
I'm using Scilab to evaluate two methods in terms of performace. However, every time I tell Scilab to calculate anything, it will print the results. Since I'm using large matrices, it spends much more time printing the results than doing the calculations, so I'm having a hard time telling how long is each method actually taking.
Can I get Scilab to compute something without printing the result?
That is, instead of
-->B = A'*A
A =
1. 2. 3.
2. 4. 6.
3. 6. 9.
-->
I'd like it to do
-->B = A'*A
-->
Also simply adding a semicolon works
-->B = A'*A;
-->
Well, I finally found the right query. When I searched for 'scilab silent', one of the results (not the first) was this:
http://help.scilab.org/docs/5.3.3/en_US/mode.html
Function mode(k) lets you choose how Scilab will behave in terms of variable display. The following call will temporarily hide results:
mode(-1)
Whereas this will get you back to the default option:
mode(2)
The documentation is confusing, though.
Please notices that mode does not used at prompt, only in an exec-file or a scilab function.
Aside from the awful English, this notice seems to be outdated. This function worked perfectly for me on the prompt.
I am trying to add an indicator light to my MS Project sheet similar to this one: Late Indicator Tool. I'm using a simplified formula: IIf([% Complete]<>100,DateDiff("d",[Deadline],[Finish]))
For any row that I enter all the information by hand, the formula works perfectly. However, the formula returns 0 for any rows where I paste data in from other project files (even if all I paste in is the task name).
Even if I attempt to use an even simpler formula ([Deadline]-[Finish]), it still returns 0 (and breaks even further by returning 4294925695.29 or 4294925708.67 instead of #Error in the rows where the Deadline is NA).
Has anyone else had any issues with calculated columns in MS Project and can help me fix it?
EDIT: I gave up on this approach when I discovered a work-around: There is a column called "Finish Variance" that will automatically calculate the difference between the Finish date and the date in the "Baseline Finish" column (which I am now using instead of "Deadline").
Your first problem sounds like your project may be corrupted (or the file that you are pasting from). I suggest building a small sample project to see if you can replicate this error. (I could not replicate it.)
As for the second problem, when the Deadline is NA, Project is substituting a default value of the largest unsigned 32-bit integer (2^32-1). To avoid this unintended value, use an If statement in your formula to return your own value in case Deadline is NA.