The statistical programming environment R is a fantastic tool for data analysis and has a huge range of add on packages that enable just about any statistical method to be implemented quickly. R is essentially a programming tool so is driven by typing in commands and running script files. This […]
Adding complex algorithms into Excel is one thing but the user needs to be able to control the algorithm settings. One way is to implement a Custom Task Pane, which adds a movable panel to the Excel interface that can be modified with any standard Windows control so allowing any […]
Linear regression is a very frequently required method and is implemented in many software packages using matrix calculations. Excel performs regression either directly through worksheet functions or on scatter plots, but it doesn’t allow the user to see the inner workings of how the calculations are made. Regression Overview Linear […]
As an illustration of how Sharp Statistics can integrate extra analysis tools into Excel there is now a demonstration Excel Add In that can be download and installed to produce some useful statistical plots of your data. It can produce 3 simple statistical charts, box, kernel density and normal quantile […]
When comparison of two sets of data is made, often only the mean and standard deviation is compared, with no reference to the actual spread of the values. This tends to manifest in the form of a bar chart showing the mean of each variable with an error bar attached […]
Last week a preview of version 0.98 of R Studio was released, with lots of new features, including some useful debugging tools. Also part of the release was a new option for creating presentations, which looks like it will be very useful.
When explaining about the Excel automation work we do at Sharp Statistics often the initial response is ‘so you write VBA macros’. In fact we don’t use Visual Basic for Applications (VBA) macros to build our solutions but instead use something called Visual Studio Tools for Office (VSTO) which we […]
Building any large application always involves a considerable amount of planning and thought to how the infrastructure of the software is going to be implemented. Decisions on the number of windows and views as well as how all the components communicate can take considerable effort to design and implement. On […]