spss - Replicate "Custom Tables" comparison in R -

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I use SPSS everyday but I'm really trying to learn R. What I'm holding is holding back. I easily need to produce tables, banners and cross-tabs for market research. I like the Custom Tables option in SPSS and want to get advice on how to replicate it with R.

I believe that there is a ton of profit on RSPSS, one of which has the ability to integrate with latex reproducible report SPSS is a quick exploration (point and click) Great for, but gives much more to packaging it to get desired and deliver acceptable for customers. It is said that R is so powerful, I think I can do everything. If I only need my banner / crosstab, then I can.

In short, what are my options for creating reportable tables similar to what I have been given below? I am copying for SPSS syntax command and reference. 

  Citiables / VARS version = Age of Adral Peduayay Maiduk Special prestg80 happy display = default / table age [MEAN F40.3, Wallis Comat 40. 0] + educ [MEAN F40.3, Valued COMMA40.0] + Peduk [MEAN F40.3, Valued Kamua 40.0] + Maduk [MEAN F40.3, Valued COMMA40.0] + Spadic [MEAN F40.3, Valid COMMA40 .0] + prestg80 [MEAN F40.3, VALIDN COMMA40.0] Succeed / SLABELS Status = ROO / CATEGORY VERSIONS = Happy Order = One Key = VALUE NIKT = Total = Yes Status = Missing After = Xglue / Signature Type = Chisqua alpha = 0.05 included = yes categories = omnipresent / equivalent type = MEAN alpha = 0.05 adjust = bonephone origin = column included = yes catego Responsibility = universal MEASVARIANCE = ALLCATS merge = a / compatible type = PROP ALPHA = 0.05 ADJUST = BONFERRONI ORIGIN = columns include = Yes categories = ubiquitous merge = no.

I attached a picture of the photo that looks output. I have a virtual interest in the ability of many variables in rows / columns and if I need it then they like the flexibility to nest. In the image, I have some constant variables that are cut from a fixed variable in the column, along with the summary statistics given in the rows. On the one hand, I also really compare the convenience of the early columns - in comparison - but the data could reach them in R for the conditional crosstab generation.

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Try to find a "tabulated" function from the package. I think it can be helpful.


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