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/dports/science/py-segregation/segregation-2.1.0/segregation/inference/
H A Dcomparative.py11 df1 = df1.copy()
14 df1 = df1[[group_pop_var1, total_pop_var1, df1.geometry.name]]
16 df1 = df1[[group_pop_var1, total_pop_var1]]
69 df1["group_composition"] = (df1[group_pop_var1] / df1[total_pop_var1]).fillna(0)
117 df1["group_composition"] = (df1[group_pop_var1] / df1[total_pop_var1]).fillna(0)
163 df1["group_composition"] = (df1[group_pop_var1] / df1[total_pop_var1]).fillna(0)
166 df1["compl_pop_var"] = df1[total_pop_var1] - df1[group_pop_var1]
169 df1["compl_composition"] = (df1["compl_pop_var"] / df1[total_pop_var1]).fillna(0)
233 df1["compl_pop_var"] = df1[total_pop_var1] - df1[group_pop_var1]
236 df1["share"] = (df1[group_pop_var1] / df1[group_pop_var1].sum()).fillna(0)
[all …]
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/frame/methods/
H A Dtest_equals.py12 assert df1.equals(df2) is False
24 assert df0.equals(df1)
25 assert df1.equals(df0)
34 df1["diff"] = df1["end"] - df1["start"]
36 df1.loc[::2] = np.nan
37 df2 = df1.copy()
43 assert df1.equals(df2)
47 different = df1.copy()
63 df1 = df1.set_index(index)
64 df2 = df1.copy()
[all …]
/dports/java/jfreechart/jfreechart-1.0.17/tests/org/jfree/chart/util/
H A DRelativeDateFormatTest.java127 assertEquals(df1, df2); in testEquals()
129 df1.setBaseMillis(123L); in testEquals()
139 df1.setDaySuffix("D"); in testEquals()
149 df1.setHourSuffix("H"); in testEquals()
159 df1.setMinuteSuffix("M"); in testEquals()
164 df1.setSecondSuffix("S"); in testEquals()
169 df1.setShowZeroDays(!df1.getShowZeroDays()); in testEquals()
187 int h1 = df1.hashCode(); in testHashCode()
198 df1.setSecondFormatter(nf); in testCloning()
201 assertTrue(df1 != df2); in testCloning()
[all …]
/dports/math/R-cran-dplyr/dplyr/tests/testthat/
H A Dtest-sets.R11 res <- intersect(df1, df2)
14 res <- intersect(df2, df1)
17 res <- union(df1, df2)
19 res <- union(df2, df1)
22 res <- setdiff(df1, df2)
24 res <- setdiff(df2, df1)
48 expect_equal(setdiff(df1, df2), filter(df1, x < 3))
49 expect_equal(intersect(df1, df2), filter(df1, x >= 3))
65 expect_equal(setdiff(df1, df2), filter(df1, x < 3), ignore_attr = TRUE)
67 expect_equal(intersect(df1, df2), filter(df1, x >= 3), ignore_attr = TRUE)
[all …]
H A Dtest-join.r4 df1 <- data.frame(a = 1:3) dataframe
7 out <- inner_join(df1, df2, by = "a")
11 out <- left_join(df1, df2, by = "a")
15 out <- right_join(df1, df2, by = "a")
19 out <- full_join(df1, df2, by = "a")
33 df1 <- tibble(x = 1:2) globalVar
42 df1 <- data.frame(a = 4:1, b = 1) dataframe
139 df1 <- tibble(a = c(1, NA)) globalVar
181 df1 <- tibble(x = c(1, 1)) globalVar
202 df1 <- data.frame(x = 1) dataframe
[all …]
/dports/devel/boost-docs/boost_1_72_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/devel/hyperscan/boost_1_75_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/devel/boost-python-libs/boost_1_72_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/devel/R-cran-BH/BH/inst/include/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/games/frogatto/frogatto-1.3.1/MacOSJet/boost/include/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/percona57-pam-for-mysql/boost_1_59_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/science/py-scipy/scipy-1.7.1/scipy/_lib/boost/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/xtrabackup/boost_1_59_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/percona57-server/boost_1_59_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/math/deal.ii/dealii-803d21ff957e349b3799cd3ef2c840bc78734305/bundled/boost-1.70.0/include/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/percona57-client/boost_1_59_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/security/keybase/client-v5.7.1/shared/ios/Pods/boost-for-react-native/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/devel/boost-libs/boost_1_72_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/mysqlwsrep57-server/boost_1_59_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/math/stanmath/math-4.2.0/lib/boost_1.75.0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/mysql57-client/mysql-5.7.36/boost/boost_1_59_0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/graphics/povray37/povray-3.7.0.10/libraries/boost/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/databases/mongodb36/mongodb-src-r3.6.23/src/third_party/boost-1.60.0/boost/math/distributions/
H A Dfisher_f.hpp96 if(df1 < 2)
99 else if(df1 == 2)
113 RealType v1x = df1 * x;
123 result = (result * df1 - x * df1 * df1) / (result * result);
149 RealType v1x = df1 * x; in cdf()
210 RealType v1x = df1 * x; in cdf()
309 return df2 * (df1 - 2) / (df1 * (df2 + 2)); in mode()
340 return 2 * (df2 + 2 * df1 - 2) * sqrt((2 * df2 - 8) / (df1 * (df2 + df1 - 2))) / (df2 - 6); in skewness()
372 RealType df1_2 = df1 * df1; in kurtosis_excess()
373 …Type n = -16 + 20 * df2 - 8 * df2_2 + df2_2 * df2 + 44 * df1 - 32 * df2 * df1 + 5 * df2_2 * df1 - … in kurtosis_excess()
[all …]
/dports/audio/praat/praat-6.2.03/test/num/
H A DfisherQ.praat7 df1 = 2
10 fisherQ = fisherQ (f, df1, df2)
34 …assert abs (fisherQ (invFisherQ (i/1000, df1, df2), 'df1', 'df2') - 'i'/1000) < 'precision' ; 'i…
39 f = invFisherQ (q, df1, df2)
46 f = invFisherQ (q, df1, df2)
54 assert abs (fisherQ (invFisherQ (0.9999, df1, df2), 'df1', 'df2') - 0.9999) < 'precision'
55 assert abs (fisherQ (invFisherQ (0.99999, df1, df2), 'df1', 'df2') - 0.99999) < 'precision'
56 assert abs (fisherQ (invFisherQ (0.999999, df1, df2), 'df1', 'df2') - 0.999999) < 'precision'
65 q = fisherQ (f, df1, df2)
71 assert abs (invFisherQ (fisherQ (f/10, df1, df2), 'df1', 'df2') - 'f'/10) < f/10*precision
[all …]

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