2/16/2024 0 Comments Tabular latex missing#> Dependent Var.: Ozone (ppb) Ozone (ppb) So far so good.īut you could say: why bother using the posprocessing function when weĬould just use piping? You’re right, but wait a second for the nextįitstat_register( type = "p_s", alias = "pvalue (standard)", fun = function(x) pvalue(x, vcov = "iid")) fitstat_register( type = "p_h", alias = "pvalue (Heterosk.)", fun = function(x) pvalue(x, vcov = "hetero")) fitstat_register( type = "p_day", alias = "pvalue (Day)", fun = function(x) pvalue(x, vcov = ~Day)) fitstat_register( type = "p_month", alias = "pvalue (Month)", fun = function(x) pvalue(x, vcov = ~Month)) # We first reset the default values set in the previous sections setFixest_etable( reset = TRUE) # Now we display the results with the new fit statistics etable(est, fitstat = ~. The postprocessing function are caught and passed to it. Second, the argument style is not from etableīut is from pander’s function. What did it do? First, it called the function #> | S.E.: Clustered | by: Day | by: Day | #> | Dependent Var.: | Ozone (ppb) | Ozone (ppb) | Library(pander) etable(est, postprocess.df =, style = "rmarkdown") #> (FE) headers have been removed, and this is achieved with the (explicit)įurthermore the suffix "fixed effect" is added to eachįixed-effect variable, and the indicator of which FE is included in In the previous example, the dependent variable and fixed-effects Leverage tools from other packages with the postprocess.dfĮtable(est, style.df = style.df( depvar.title = "", fixef.title = "", fixef.suffix = " fixed effect", yesNo = "yes")) #> est.1 est.2 est.3 The look of the table with the style.df argument, b) how to ![]() Starting from this table, two elements are detailed: a) how to change Third, the type of standard-error is reminded Second, the fixed-effects section details which fixed-effects is What can we notice? First, the variables are properly labeled. #> S.E.: Clustered by: Day by: Day by: Day #> Dependent Var.: Ozone (ppb) Ozone (ppb) Ozone (ppb) This document applies to fixest version 0.10.2 or Some features that may be hidden at first sight. This document does not describe etable’s arguments inĭetails (the help page provides many examples). Possibly necessitating more lines of code to export the same Great!) but they are less integrated with fixest objects, (if you don’t know it already, please do have a look, it’s really Note that there exists excellent alternatives to export tables, like Style of your tables without modifying a single line of code. Seamlessly change its default values, you can completely transform the It also offers a fair deal of customization, and since you can Post-processing functions opens up a lot of possibilities). ![]() ![]() Limitations are that i) only fixest objects can beĮxported, and ii) only Latex is supported (although the use of It exceedingly easy to export multiple estimation results with, say,ĭifferent types of standard-errors. ![]() The main advantage of this function is its simplicity: it isĬompletely integrated with other fixest functions, making To view estimation tables in R or export them to Latex. Go to the first, previous, next, last section, table of contents.Exporting estimation tables Laurent Berge įixest offers a tool, the function etable, \begin - Equivalent to num copies of cols, where num is any positive integer and cols isany list of column-specifiers, which may contain another *-expression. LaTeX help 1.1 - tabular Go to the first, previous, next, last section, table of contents.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |