excel_stat_summary_functions {tidyquant} | R Documentation |
Excel Statistical Summary Functions
Description
15+ common statistical functions familiar to users of Excel (e.g. SUM()
, AVERAGE()
).
These functions return a single value (i.e. a vector of length 1).
These functions are designed to help users coming from an Excel background. Most functions replicate the behavior of Excel:
Names in most cases match Excel function names
Functionality replicates Excel
By default, missing values are ignored (same as in Excel)
Usage
SUM(x)
AVERAGE(x)
MEDIAN(x)
MIN(x)
MAX(x)
COUNT(x)
COUNT_UNIQUE(x)
STDEV(x)
VAR(x)
COR(x, y)
COV(x, y)
FIRST(x)
LAST(x)
NTH(x, n = 1)
CHANGE_FIRSTLAST(x)
PCT_CHANGE_FIRSTLAST(x)
Arguments
x |
A vector. Most functions are designed for numeric data.
Some functions like |
y |
A vector. Used in functions requiring 2 inputs. |
n |
A single value used in |
Details
Summary Functions
All functions remove missing values (
NA
). This is the same behavior as in Excel and most commonly what is desired.
Value
-
Summary functions return a single value
Useful functions
Summary Functions - Return a single value from a vector
Sum:
SUM()
Count:
COUNT()
,COUNT_UNIQUE()
Change (Summary):
CHANGE_FIRSTLAST()
,PCT_CHANGE_FIRSTLAST()
Examples
# Libraries
library(tidyquant)
library(timetk)
library(tidyverse)
library(forcats)
# --- Basic Usage ----
SUM(1:10)
PCT_CHANGE_FIRSTLAST(c(21, 24, 22, 25))
# --- Usage with tidyverse ---
# Go from daily to monthly periodicity,
# then calculate returns and growth of $1 USD
FANG %>%
mutate(symbol = as_factor(symbol)) %>%
group_by(symbol) %>%
# Summarization - Collapse from daily to FIRST value by month
summarise_by_time(
.date_var = date,
.by = "month",
adjusted = FIRST(adjusted)
)