freqprof: Convert data to moving sum/prop.

Description Usage Arguments Value Examples

View source: R/ShapeData.R

Description

Convert data to moving sum/prop.

Usage

1
2
freqprof(data.behavior, window = round(0.25 * nrow(data.behavior)),
  step = 1, resolution = 1, which = c("sum", "proportion"))

Arguments

data.behavior

a data.frame containing occurrence/nonoccurrence data in binary (0/1) format

window

the window length to use in computing a moving sum or proportion

step

the number of bins of which the data will be translated.

resolution

the number of points contained in a bin

which

giving the moving function to apply: sum or proportion

Value

The data in a freqprof object.

Examples

1
2

Example output

$window
[1] 773

$step
[1] 1

$resolution
[1] 1

$raw.data
     V1 V2 V3 V4
1     1  0  0  0
2     0  0  0  0
3     0  0  0  0
4     0  0  0  0
5     0  0  0  0
6     0  0  0  0
7     0  0  0  0
8     0  1  0  0
9     0  0  0  0
10    0  0  0  0
11    0  0  0  0
12    0  0  0  0
13    0  0  0  0
14    0  0  0  0
15    0  0  0  0
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29    0  0  0  0
30    0  0  0  0
31    0  0  0  0
32    1  0  0  0
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35    0  0  0  0
36    1  0  0  0
37    0  0  0  0
38    0  0  0  0
39    1  0  0  0
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41    0  0  0  0
42    0  0  0  0
43    0  0  0  0
44    1  0  0  0
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$type
[1] "sum"

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1900 1899      2  6 94 28  7
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1911 1910      2  4 93 30  7
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1914 1913      2  4 92 31  7
1915 1914      2  4 92 31  7
1916 1915      2  4 92 31  7
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1920 1919      2  4 90 32  7
1921 1920      2  4 90 32  7
1922 1921      2  4 90 32  7
1923 1922      2  4 89 32  7
1924 1923      2  4 89 32  7
1925 1924      2  4 89 32  7
1926 1925      2  4 89 32  7
1927 1926      2  4 89 33  7
1928 1927      2  4 89 33  7
1929 1928      2  4 88 33  7
1930 1929      2  4 88 33  7
1931 1930      2  4 88 34  7
1932 1931      2  4 87 34  7
1933 1932      2  4 87 34  7
1934 1933      2  4 87 34  7
1935 1934      2  4 87 34  7
1936 1935      2  4 86 34  7
1937 1936      2  4 86 34  8
1938 1937      2  4 86 34  8
1939 1938      2  4 86 34  8
1940 1939      2  4 86 34  9
1941 1940      2  4 85 34  9
1942 1941      2  4 85 34  9
1943 1942      2  4 85 34 10
1944 1943      2  4 84 34 10
1945 1944      2  4 84 34 10
1946 1945      2  4 84 34 11
1947 1946      2  4 84 34 11
1948 1947      2  4 84 34 11
1949 1948      2  4 84 34 11
1950 1949      2  4 83 34 11
1951 1950      2  4 83 35 11
1952 1951      2  4 83 35 11
1953 1952      2  4 82 35 11
1954 1953      2  4 82 35 11
1955 1954      2  4 82 36 11
1956 1955      2  4 82 36 11
1957 1956      2  4 81 36 11
1958 1957      2  4 81 36 11
1959 1958      2  4 81 36 11
1960 1959      2  4 80 36 11
1961 1960      2  4 80 36 11
1962 1961      2  4 80 36 11
1963 1962      2  4 79 36 11
1964 1963      2  4 79 36 11
1965 1964      2  4 79 36 11
1966 1965      2  4 79 36 11
1967 1966      2  4 78 37 11
1968 1967      2  4 78 37 11
1969 1968      2  4 78 37 11
1970 1969      2  4 77 37 11
1971 1970      2  4 77 37 11
1972 1971      2  4 77 37 11
1973 1972      2  4 76 38 11
1974 1973      2  4 76 38 11
1975 1974      2  4 76 38 11
1976 1975      2  4 76 38 11
1977 1976      2  4 76 38 11
1978 1977      2  4 76 38 11
1979 1978      2  4 76 38 11
1980 1979      2  4 76 38 11
1981 1980      2  4 76 38 11
1982 1981      2  4 75 38 11
1983 1982      2  4 76 38 11
1984 1983      2  4 76 38 11
1985 1984      2  4 75 38 11
1986 1985      2  4 75 38 11
1987 1986      2  4 76 38 11
1988 1987      2  4 75 38 11
1989 1988      2  4 75 38 11
1990 1989      2  4 76 38 11
1991 1990      2  4 75 38 11
1992 1991      2  4 75 38 11
1993 1992      2  4 75 38 11
1994 1993      2  4 75 38 11
1995 1994      2  4 75 38 11
1996 1995      2  4 75 38 11
1997 1996      2  4 75 38 11
1998 1997      2  4 75 38 11
1999 1998      2  4 76 38 11
2000 1999      2  4 76 38 11
2001 2000      2  4 76 38 11
2002 2001      2  4 77 38 11
2003 2002      2  4 77 38 11
2004 2003      2  4 77 38 11
2005 2004      2  4 77 38 11
2006 2005      2  4 77 38 11
2007 2006      2  4 77 38 11
2008 2007      2  4 77 38 11
2009 2008      2  4 77 38 11
2010 2009      2  4 77 38 11
2011 2010      2  4 77 39 11
2012 2011      2  4 77 39 11
2013 2012      2  4 77 39 11
2014 2013      2  4 77 39 11
2015 2014      2  4 77 40 11
2016 2015      2  4 77 40 11
2017 2016      2  4 77 40 11
2018 2017      2  4 77 40 11
2019 2018      2  4 77 41 11
2020 2019      2  4 77 41 11
2021 2020      2  4 77 41 11
2022 2021      2  4 77 41 11
2023 2022      2  4 77 42 11
2024 2023      2  4 77 42 11
2025 2024      2  4 77 42 11
2026 2025      2  4 77 42 11
2027 2026      2  4 77 42 11
2028 2027      2  4 77 42 11
2029 2028      2  4 77 43 11
2030 2029      2  4 77 43 11
2031 2030      2  4 77 43 11
2032 2031      2  4 77 43 11
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2034 2033      2  4 77 44 11
2035 2034      2  4 77 44 11
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