3

I have a dataframe which looks like

Height Count
173      2
184      3
193      1

Usually, to plot an empirical cumulative distribution function, one: 1) expands the dataframe by using e.g. splitstackshape's expandRows function to obtain the following:

output
173
173
184
184
184     
193

2) plots the ECDF using the output variable.

However, my dataframe is very large and expandRows yields an error of the 'cannot allocate vector of size X' type. Yet, what I would be interested in is an (even approximate) plot of the ECDF, rather than an expanded dataframe.

Is there a workaround to achieve this?

Jackk
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  • I'm not exactly sure what your expected output is, can you give an example with the data? You might want to look at `geom_step` from `ggplot2`, – kath Sep 17 '19 at 09:28
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    Possible duplicate of . In particular see the given [link](https://github.com/NicolasWoloszko/stat_ecdf_weighted). – Stéphane Laurent Sep 17 '19 at 09:29
  • To get the output variable, you could do: `rep(df$Height, df$Count)`; and if you need it in a dataframe: `data.frame(output = rep(df$Height, df$Count))` – Jaap Sep 17 '19 at 10:46

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