To create a new variable or to transform an old variable into a new one, usually, is a simple task in R. The common function to use isnewvariable <- oldvariable. Variables are always added horizontally in a data
In other words, the latent variable on the left is presumed to be the common underlying factor for the observed variables on the right. You can see that the latent variables are named after what the respective questions intend to measure. For example, since the questions N1, N2, N3, N4 ...
>> > I am trying to recode positive values on a specific variable into particular negative values. >> > e.g: >> > recode year (1990 = -156) (1991= -144) >> > and so on. >> > However, recode does not allow a negative value it seems. >> > Any input on this problem would...
will use the value output by oldhist() to test for the "if" and will not display the value. Note this particular multi-line form does not use a semi-colon. It is not possible in a MATLAB routine to find out the name of an output variable. You coul...
The ongoing COVID-19 pandemic has highlighted the vast differences in approaches to the control and containment of coronavirus across the world and has demonstrated the varied success of such approaches in minimizing the transmission of coronavirus. Whil
and makes them harder to interpret. If you think there is some latent underlying continuous variable underlying occupation (e.g. occupational status) than you can estimate this scale and the effect of the latent occupational status on the
The PATH environment variable we will define next specifies a list of directories that the operating system should search when looking for executable files. To open this, go to the search bar on Windows and type “path”In System Properties > Advanced, head over to “Environment Variables” ...
Responses were located on a seven-point scale, from (1) 'Very great advantage' to (7) 'Very great disadvantage.' I recode the dependent variable into a dummy variable for seeing immigration as an advantage (1–3 in the original, ordinal scale). Panel (a) in Figure 2 presents the ...
the dataset requirements using fable--Tidy forecasting in R Forecasting - Combination of methods In R, how do I code "only show the first 2 words" of an output? Set.seed() with simulations Seeking help for using filter and mutate command to break down a current variable into sep...
In all cases, the basic approach for data transforms is the same. The heart of the RevoScaleR data step is a list oftransforms, each of which specifies an R expression to be evaluated. The data step typically is an assignment that either creates a new variable or modifies an existing varia...