How can I make a dropdown menu that allows me to reference different columns and change the column reference of a data function in Spotfire's TERR/R?
I am creating 2D cross plots of data, using TERR data function to overlay the average profile line of the data on top of the individual profile lines. I am trying to add the ability to toggle between different normalizations. I want to be able to see data and the average of data over time normalization, pressure normalization, etc, etc. Without having to go into the data function and change the column name reference every time I want to change.
I know how to make the dropdown in the text area and reference each visualization, so those change automatically, but I still can't figure out how to make the TERR data input column to change dynamically with the dropdown menu selection so that the average line also changes.
There must be some way to simply say I want whatever is in the document property to be the "group by" column in the TERR data function to perform aggregations against. (I'm using the R package dplyr to do various simple statistical aggregations on data)
Thanks for the help!
Related
I am trying to extract information from a portion of a table in R. Example table below...
This is just a simple example compared to what I am really dealing with. I am working with a very large table that has a very strange structure and changes with each page. When I read the whole table using "extract_tables" function, I get a very unstructured result back with multiple table elements being pushed into the same row/column. So I am attempting to read only a portion of the table. I am trying to locate the position of the table using the text in the first cell "Here", so I can plug this into the "area" parameter of the "extract_tables" function. I cannot use the "extract_areas" function because I do not want to extract the tables manually.
Can anyone help me with this?
i m creating a risk dashboard , the problem is that i need the data set to be reactive , i have a simple dataset composed of countries (8) , sectors and values , what i want is that my app will be able to deal with different data sets for example if we change the colnames (country becomes pays) and we change the position of the col ,the app will recognize the column as country (in reality the data set is composed of an undefined number of variables with unkown names)
for example for the country column , i thought of creating a list that contains all country names and and when the first row of a column matches with a country from that list ,the column become names country
like that the problem is solved for one variable and what about the other ones
I think that's unnecesary complexity.
I suggest you to build an script to clean your data first with those specifications and then use it as a source.
You can use pattern recognition to match columns but be sure there aren't similar columns, for example, if you have two numerical variables there's a big problem.
Via Shiny I suggest you:
fileInput to import your database
Visualizate your database using DT
Create as many textInput boxes as columns you have
Manually change colnames using dplyr::rename and the boxes
Use the transformed database in your dashboard
Other options can be made using base::grep and dplyr.
In Enterprise Guide, I draw scatter plots with creation and closing date of issues to detect when backloggs occur and when they are resolved:
(The straight lines in the graph are batch interventions, like closing a set of issues that were handled outside ot the system.)
proc sgplot data=alert;
scatter x=create_Date y=CloseDate / group=CloseReason;
run;
When I try to do the same in SAS Visual Analytics, I can only put measures on the x-ax and y-ax and I cant make te date or datetime variable a measure.
Do I do something wrong? Should I use another graph type?
My take is that the inability of SAS VA Explorer to allow dates to be measures is a real weakness. Old school trickery would be perhaps to create a duplicate data item that computes the SAS data value (giving you a number result and thus a measure) and then formatting that with a custom format to render it back as a human readable date.
However, according to http://support.sas.com/kb/47/100.html#explorer
How SAS Visual Analytics Designer supports formats
In SAS Visual Analytics Designer, the Format property of the data item displays the name of the format for both numeric and character data items. However, there are some differences between numeric and character data items.
Numeric data items
You can change the format. If you change the format, you can restore the user-defined format by selecting Reset to Default in the Format type box.
You can specify to sort by formatted or unformatted values (release 6.2 and later).
(My bolds) Numeric data items with a user-defined format are classified as categories. You cannot change these data items to measures while the user-defined format is applied.
According to support.sas.com/documentation/cdl/en/vaug/68648/PDF/default/vaug.pdf , page 166, you could work on defining data roles for a scatter plot.
I am not sure that this could solve your situation but it says that:
"In addition to measures, you can assign a Group variable. The Group variable groups the data based on the values of the category data item that you assign. A separate set of scatter points is created for each value of the group variable.
You can add data items to the Data tips role. The values for the data items in the Data tips role are displayed in the data tips for the scatter plot".
Hope it helps.
edit: to clarify, the function to make my choropleth graph require "region" (state) and "value" columns, and simply color codes the region based on where value falls on the scale.
I want to make the "value" column dynamic and have the graph reference the dynamic column
I am not sure if I can read from an output object
I have a slider range from 2000-2014, and columns x2000-x2014.
I want the slider to change the data being graphed, so if I choose 2002-2010 it shows that data, etc.
It's a choropleth graph showing % change between the two years, so if I choose 2004 and 2007 on the slider I want it to pull (x2007-x2004)/x2004. I can get it to change to X2004 (low<- paste0("X", input$range[1])) but I cant really do df$low.
If I read the question correctly then you are able to create a character string with the name of the column in the data frame that you want to access (low is the name of the column in data frame df), but your attempts to access that column using df$low is not working. Is that correct?
If so, then there is actually a fortune about this:
> library(fortunes)
> fortune('toad')
The problem here is that the $ notation is a magical shortcut and
like any other magic if used incorrectly is likely to do the
programmatic equivalent of turning yourself into a toad.
-- Greg Snow (in response to a user that wanted to access a
column whose name is stored in y via x$y rather than x[[y]])
R-help (February 2012)
The answer to your question is in the bottom part of that quote and is detailed on the help page help('$') and in section 6.1 of An Introduction to R.
So I'm trying to manipulate a simple Qualtrics CSV, and I want to use colSums on certain columns of data, given a certain filter.
For example: within the .csv file called data, I want to get the sum of a few columns, and print them with certain labels (say choice1, choice2 etc). That is easy enough by itself:
firstqn<-data.frame(choice1=data$Q7_2,choice2=data$Q7_3,choice3=data$Q7_4);
secondqn<-data.frame(choice1=data$Q8_6,choice2=data$Q8_7,choice3=data$Q8_8)
print colSums(firstqn); print colSums(secondqn)
The problem comes when I want to repeat the above steps with different filters, - say, only the rows where gender==2.
The only way I know how is to create a new dataset data2 and replace data$ with data2$ in every line of the above code, such as:
data2<-(data[data$Q2==2,])
firstqn<-data.frame(choice1=data2$Q7_2,choice2=data2$Q7_3,choice3=data2$Q7_4);
however i have 6 choices for each of 5 questions and am planning to apply about 5-10 different filters, and I don't relish the thought of copy/pasting data2 and `data3' etc hundreds of times.
So my question is: Is there any way of getting R to reference data by default without using data$ in front of every variable name?
I can probably use attach() to achieve this, but i really don't want to:
data2<-(data[data$Q2==2,])
attach(data2)
firstqn<-data.frame(choice1=Q7_2,choice2=Q7_3,choice3=Q7_4);
detach(data2)
is there a command like attach() that would allow me to avoid using data$ in front of every variable, for a specified amount of code? Then whenever I wanted to create a new filter, I could just copy/paste the same code and change the first command (defining a new dataset).
I guess I'm looking for some command like with(data2, *insert multiple commands here*)
Alternatively, if anyone has a better way to do the above in an entirely different way please enlighten me - i'm not very proficient at R (yet).