From 984a8a4a6825f18826c56961aa10b38e16f11fd1 Mon Sep 17 00:00:00 2001 From: Soeren Wolfers Date: Fri, 27 Sep 2024 16:57:16 +0100 Subject: [PATCH] Update aggregates.md --- docs/sql/functions/aggregates.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/sql/functions/aggregates.md b/docs/sql/functions/aggregates.md index df153cf2a0a..e950a90520f 100644 --- a/docs/sql/functions/aggregates.md +++ b/docs/sql/functions/aggregates.md @@ -439,7 +439,7 @@ They all ignore `NULL` values (in the case of a single input column `x`), or pai | [`median(x)`](#medianx) | The middle value of the set. For even value counts, quantitative values are averaged and ordinal values return the lower value. | | [`mode(x)`](#modex)| The most frequent value. | | [`quantile_cont(x, pos)`](#quantile_contx-pos) | The interpolated `pos`-quantile of `x` for `0 <= pos <= 1`, i.e., orders the values of `x` and returns the `pos * (n_nonnull_values - 1)`th (zero-indexed) element (or an interpolation between the adjacent elements if the index is not an integer). If `pos` is a `LIST` of `FLOAT`s, then the result is a `LIST` of the corresponding interpolated quantiles. | -| [`quantile_disc(x, pos)`](#quantile_discx-pos) | The discrete `pos`-quantile of `x` for `0 <= pos <= 1`, i.e., orders the values of `x` and returns the `floor(pos * (n_nonnull_values - 1))`th (zero-indexed) element. If `pos` is a `LIST` of `FLOAT`s, then the result is a `LIST` of the corresponding discrete quantiles. | +| [`quantile_disc(x, pos)`](#quantile_discx-pos) | The discrete `pos`-quantile of `x` for `0 <= pos <= 1`, i.e., orders the values of `x` and returns the `greatest(ceil(pos * n_nonnull_values) - 1, 0)`th (zero-indexed) element. If `pos` is a `LIST` of `FLOAT`s, then the result is a `LIST` of the corresponding discrete quantiles. | | [`regr_avgx(y, x)`](#regr_avgxy-x) | The average of the independent variable for non-`NULL` pairs, where x is the independent variable and y is the dependent variable. | | [`regr_avgy(y, x)`](#regr_avgyy-x) | The average of the dependent variable for non-`NULL` pairs, where x is the independent variable and y is the dependent variable. | | [`regr_count(y, x)`](#regr_county-x) | The number of non-`NULL` pairs. | @@ -539,7 +539,7 @@ They all ignore `NULL` values (in the case of a single input column `x`), or pai
-| **Description** | The discrete `pos`-quantile of `x` for `0 <= pos <= 1`, i.e., orders the values of `x` and returns the `floor(pos * (n_nonnull_values - 1))`th (zero-indexed) element. If `pos` is a `LIST` of `FLOAT`s, then the result is a `LIST` of the corresponding discrete quantiles. | +| **Description** | The discrete `pos`-quantile of `x` for `0 <= pos <= 1`, i.e., orders the values of `x` and returns the `greatest(ceil(pos * n_nonnull_values) - 1, 0)`th (zero-indexed) element. If `pos` is a `LIST` of `FLOAT`s, then the result is a `LIST` of the corresponding discrete quantiles. | | **Formula** | - | | **Alias(es)** | `quantile` |