/dports/misc/qt5-examples/qt-everywhere-src-5.15.2/qtdatavis3d/examples/datavisualization/qmlbars/qml/qmlbars/ |
H A D | Data.qml | 38 ListElement{ timestamp: "2006-01"; expenses: "-4"; income: "5" } 39 ListElement{ timestamp: "2006-02"; expenses: "-5"; income: "6" } 40 ListElement{ timestamp: "2006-03"; expenses: "-7"; income: "4" } 42 ListElement{ timestamp: "2006-04"; expenses: "-3"; income: "2" } 43 ListElement{ timestamp: "2006-05"; expenses: "-4"; income: "1" } 44 ListElement{ timestamp: "2006-06"; expenses: "-2"; income: "2" } 45 ListElement{ timestamp: "2006-07"; expenses: "-1"; income: "3" } 46 ListElement{ timestamp: "2006-08"; expenses: "-5"; income: "1" } 47 ListElement{ timestamp: "2006-09"; expenses: "-2"; income: "3" } 48 ListElement{ timestamp: "2006-10"; expenses: "-5"; income: "2" } [all …]
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/dports/math/R-cran-psych/psych/man/ |
H A D | income.Rd | 1 \name{income} 2 \alias{income} 3 \alias{all.income} 5 \title{US family income from US census 2008 8 \description{US census data on family income from 2008 10 \usage{data(income)} 15 \item{\code{value}}{lower boundary of the income group} 30 data(income) 31 with(income[1:40,], plot(mean,prop, main="US family income for 2008",xlab="income", ylab="Proportio… 33 describe(income) [all …]
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/dports/finance/R-cran-AER/AER/man/ |
H A D | CreditCard.Rd | 17 \item{income}{Yearly income (in USD 10,000).} 18 \item{share}{Ratio of monthly credit card expenditure to yearly income.} 58 ccard$income <- round(ccard$income, digits = 2) 67 ccard <- ccard[order(ccard$income),] 69 cc_ols <- lm(expenditure ~ age + owner + income + I(income^2), data = ccard0) 72 plot(residuals(cc_ols) ~ income, data = ccard0, pch = 19) 77 mean(ccard$income) 84 bptest(cc_ols, ~ (age + income + I(income^2) + owner)^2 + I(age^2) + I(income^4), data = ccard0) 86 bptest(cc_ols, ~ income + I(income^2), data = ccard0, studentize = FALSE) 87 bptest(cc_ols, ~ income + I(income^2), data = ccard0)
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H A D | CigarettesB.Rd | 14 \item{income}{Logarithm of real disposable income (per capita) in each state.} 40 cig_lm2 <- lm(packs ~ price + income, data = CigarettesB) 44 summary(lm(ares ~ income, data = CigarettesB)) 45 summary(lm(ares ~ I(1/income), data = CigarettesB)) 46 summary(lm(ares ~ I(1/sqrt(income)), data = CigarettesB)) 47 summary(lm(ares ~ sqrt(income), data = CigarettesB)) 49 gqtest(cig_lm2, order.by = ~ income, data = CigarettesB, fraction = 12, alternative = "less") 55 cor.test(~ ares + income, data = CigarettesB, method = "spearman") 57 bptest(cig_lm2, varformula = ~ income, data = CigarettesB, student = FALSE) 59 bptest(cig_lm2, ~ income * price + I(income^2) + I(price^2), data = CigarettesB)
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H A D | Baltagi2002.Rd | 49 cig_lm2 <- lm(packs ~ price + income, data = CigarettesB) 53 summary(lm(ares ~ income, data = CigarettesB)) 54 summary(lm(ares ~ I(1/income), data = CigarettesB)) 56 summary(lm(ares ~ sqrt(income), data = CigarettesB)) 68 bptest(cig_lm2, ~ income * price + I(income^2) + I(price^2), data = CigarettesB) 89 fm <- lm(expenditure ~ income, data = USConsump1993) 104 rcus <- efp(expenditure ~ income, data = USConsump1993) 120 fm1 <- dynlm(expenditure ~ income + L(income), data = USConsump1993) 127 usc$investment <- usc$income - usc$expenditure 128 fm_ols <- lm(expenditure ~ income, data = usc) [all …]
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H A D | USConsump1950.Rd | 6 Time series data on US income and consumption expenditure, 1940--1950. 14 \item{income}{Disposable income.} 40 plot(expenditure ~ income, data = usc, type = "n", xlim = c(225, 375), ylim = c(225, 350)) 41 with(usc, text(income, expenditure, time(USConsump1950))) 44 fm <- lm(expenditure ~ income, data = usc) 48 fm2 <- lm(expenditure ~ income + war, data = usc) 61 summary(lm(expenditure ~ income, data = usc, subset = war == "no"))$r.squared
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H A D | Greene2003.Rd | 566 ccard$income <- round(ccard$income, digits = 2) 592 bptest(cc_ols, ~ (age + income + I(income^2) + owner)^2 + I(age^2) + I(income^4), 596 bptest(cc_ols, ~ income + I(income^2), data = ccard0) 599 cc_wls1 <- lm(expenditure ~ age + owner + income + I(income^2), weights = 1/income, 601 cc_wls2 <- lm(expenditure ~ age + owner + income + I(income^2), weights = 1/income^2, 605 cc_fgls1 <- lm(expenditure ~ age + owner + income + I(income^2), 609 cc_fgls2 <- lm(expenditure ~ age + owner + income + I(income^2), 616 cc_fgls3 <- lm(expenditure ~ age + owner + income + I(income^2), weights = 1/income^alpha, 621 cc_fgls3 <- lm(expenditure ~ age + owner + income + I(income^2), weights = 1/income^alpha, 625 -logLik(lm(expenditure ~ age + owner + income + I(income^2), weights = 1/income^alpha, [all …]
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H A D | ChinaIncome.Rd | 5 Time series of real national income in China per section (index with 1952 = 100). 12 \item{agriculture}{Real national income in agriculture sector.} 13 \item{industry}{Real national income in industry sector.} 14 \item{construction}{Real national income in construction sector.} 15 \item{transport}{Real national income in transport sector.} 16 \item{commerce}{Real national income in commerce sector.}
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H A D | USConsump1993.Rd | 5 Time series data on US income and consumption expenditure, 1950--1993. 12 \item{income}{Disposable personal income (in 1987 USD).} 33 fm <- lm(expenditure ~ income, data = USConsump1993) 48 rcus <- efp(expenditure ~ income, data = USConsump1993) 64 fm1 <- dynlm(expenditure ~ income + L(income), data = USConsump1993) 65 fm2 <- dynlm(expenditure ~ income + L(expenditure), data = USConsump1993)
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H A D | USGasG.Rd | 14 \item{income}{Per capita disposable income.} 43 fm <- lm(log(gas/population) ~ log(price) + log(income) + log(newcar) + log(usedcar), 52 confint(fm, parm = "log(income)") 54 linearHypothesis(fm, "log(income) = 1") 63 fm1 <- lm(log(gas/population) ~ log(income) + log(price) + log(newcar) + 67 fm2 <- lm(log(gas/population) ~ shock + log(income) + log(price) + log(newcar) + 71 fm3 <- lm(log(gas/population) ~ shock/(log(income) + log(price) + log(newcar) + 78 sctest(log(gas/population) ~ log(income) + log(price) + log(newcar) + 81 rcus <- efp(log(gas/population) ~ log(income) + log(price) + log(newcar) +
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/dports/www/groupoffice/groupoffice-6.4.231-php-71/modules/projects2/install/updatescripts/ |
H A D | budget_to_income.php | 33 $income = new \GO\Projects2\Model\Income(); variable 34 $income->amount = $project->budget; 35 $income->description = 'Project budget'; 36 $income->type = \GO\Projects2\Model\Income::TYPE_CONTRACT_PRICE; 37 $income->is_invoiced = true; 38 $income->invoice_number = 'Budget'; 39 $income->invoice_at = $project->due_time ? $project->due_time : time(); 40 $income->project_id = $project->id; 41 $income->save();
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/dports/misc/orange3/orange3-3.29.1/Orange/tests/ |
H A D | test_domain.py | 63 attributes = (age, gender, income) 72 attributes = (age, gender, income) 81 attributes = (age, gender, income) 90 attributes = (age, gender, income) 99 attributes = (age, gender, income) 108 attributes = (age, gender, income) 114 attributes = (age, gender, income) 120 attributes = (age, gender, income) 209 (income, income), 211 (2, income), [all …]
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/dports/games/julius/julius-1.7.0/src/city/ |
H A D | finance.c | 108 this_year->income.total = in city_finance_calculate_totals() 109 this_year->income.donated + in city_finance_calculate_totals() 110 this_year->income.taxes + in city_finance_calculate_totals() 111 this_year->income.exports; in city_finance_calculate_totals() 305 last_year->income.exports = this_year->income.exports; in copy_amounts_to_last_year() 306 this_year->income.exports = 0; in copy_amounts_to_last_year() 329 last_year->income.donated = this_year->income.donated; in copy_amounts_to_last_year() 330 this_year->income.donated = 0; in copy_amounts_to_last_year() 336 int income = in pay_tribute() local 338 last_year->income.taxes + in pay_tribute() [all …]
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/dports/databases/pg_citus/citus-10.2.3/src/test/regress/sql/ |
H A D | with_transactions.sql | 8 CREATE TABLE with_transactions.raw_table (tenant_id int, income float, created_at timestamptz); field 11 CREATE TABLE with_transactions.second_raw_table (tenant_id int, income float, created_at timestampt… field 16 raw_table (tenant_id, income, created_at) 31 SELECT tenant_id FROM raw_table WHERE income < 250 37 UPDATE raw_table SET income = income * 2 WHERE tenant_id IN (SELECT tenant_id FROM deleted_ids); 43 SELECT max(income) FROM raw_table; 81 SELECT income FROM second_raw_table WHERE tenant_id IN (SELECT * FROM ids_inserted) ORDER BY 1 DESC…
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/dports/textproc/zorba/zorba-2.7.0/test/rbkt/ExpQueryResults/zorba/index/ |
H A D | auctions1.xml.res | 191 …income="41889.41"/><person id="person10" income="44300.88"/><person id="person11" income="33731.14… 195 …income="55386.86"/><person id="person4" income="9876.00"/><person id="person9" income="57878.50"/>… 207 …income="55386.86"/><person id="person3" income="41889.41"/><person id="person4" income="9876.00"/>…
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/dports/textproc/nux/nux/samples/xmark/ |
H A D | q20.xq | 2 (: income and output the cardinality of each group. :) 6 {count (/site/people/person/profile[@income >= 100000])} 9 {count (/site/people/person/profile[@income < 100000 10 and @income >= 30000])} 13 {count (/site/people/person/profile[@income < 30000])} 17 where empty($p/@income)
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/dports/games/senken/senken-0.3.0/lib/ |
H A D | player.c | 65 double income[RANGE_NUMRANGES][INCOME_NUMTYPES]; member 178 players[playernum]->income[RANGE_CURRENT_YEAR][type] -= amount; in player_reducemoney_num() 179 players[playernum]->income[RANGE_ALLTIME][type] -= amount; in player_reducemoney_num() 197 players[playernum]->income[RANGE_CURRENT_YEAR][type] += amount; in player_addmoney_num() 198 players[playernum]->income[RANGE_ALLTIME][type] += amount; in player_addmoney_num() 213 player->income[RANGE_LAST_MONTH][i] = player->income[RANGE_CURRENT_MONTH][i]; in player_clearout_month() 214 player->income[RANGE_CURRENT_MONTH][i] = 0; in player_clearout_month() 227 player->income[RANGE_LAST_YEAR][i] = player->income[RANGE_CURRENT_YEAR][i]; in player_clearout_year() 228 player->income[RANGE_CURRENT_YEAR][i] = 0; in player_clearout_year() 273 return player->income[range][type]; in player_getincometype() [all …]
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/dports/math/R-cran-robustbase/robustbase/man/ |
H A D | foodstamp.Rd | 17 \item{\code{suppl.income}}{supplemental income, indicating whether 18 some form of supplemental security income is received; yes = 1, no = 0} 19 \item{\code{income}}{monthly income (in US dollars)} 27 % which wrongly labeled 'income' (='INC') as "log(1 + income)" 48 (T123 <- xtabs(~ participation+ tenancy+ suppl.income, data=foodstamp)) 52 logInc <- log(1 + income) 53 rm(income)
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/dports/games/augustus/augustus-3.1.0/src/city/ |
H A D | finance.c | 177 this_year->income.total = in city_finance_calculate_totals() 178 this_year->income.donated + in city_finance_calculate_totals() 179 this_year->income.taxes + in city_finance_calculate_totals() 180 this_year->income.exports; in city_finance_calculate_totals() 423 last_year->income.exports = this_year->income.exports; in copy_amounts_to_last_year() 424 this_year->income.exports = 0; in copy_amounts_to_last_year() 447 last_year->income.donated = this_year->income.donated; in copy_amounts_to_last_year() 448 this_year->income.donated = 0; in copy_amounts_to_last_year() 458 int income = in pay_tribute() local 460 last_year->income.taxes + in pay_tribute() [all …]
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/dports/databases/pg_citus/citus-10.2.3/src/test/regress/expected/ |
H A D | with_transactions.out | 6 CREATE TABLE with_transactions.raw_table (tenant_id int, income float, created_at timestamptz); 13 CREATE TABLE with_transactions.second_raw_table (tenant_id int, income float, created_at timestampt… 21 raw_table (tenant_id, income, created_at) 32 SELECT tenant_id FROM raw_table WHERE income < 250 38 UPDATE raw_table SET income = income * 2 WHERE tenant_id IN (SELECT tenant_id FROM deleted_ids); 39 … ids_to_delete: SELECT tenant_id FROM with_transactions.raw_table WHERE (income OPERATOR(pg_catalo… 50 SELECT max(income) FROM raw_table; 74 …or CTE ids_inserted: INSERT INTO with_transactions.raw_table (tenant_id, income, created_at) VALUE… 112 SELECT income FROM second_raw_table WHERE tenant_id IN (SELECT * FROM ids_inserted) ORDER BY 1 DESC… 114 …income FROM with_transactions.second_raw_table WHERE (tenant_id OPERATOR(pg_catalog.=) ANY (SELECT… [all …]
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/dports/games/julius/julius-1.7.0/src/window/advisor/ |
H A D | financial.c | 67 draw_row(60, 8, 155, last_year->income.taxes, this_year->income.taxes); in draw_background() 68 draw_row(60, 9, 170, last_year->income.exports, this_year->income.exports); in draw_background() 69 draw_row(60, 20, 185, last_year->income.donated, this_year->income.donated); in draw_background() 74 draw_row(60, 10, 203, last_year->income.total, this_year->income.total); in draw_background()
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/dports/textproc/zorba/zorba-2.7.0/test/rbkt/Queries/zorba/xmark/ |
H A D | q20.xq | 5 {count($auction/site/people/person/profile[@income >= 100000])} 11 profile[@income < 100000 and @income >= 30000] 16 {count($auction/site/people/person/profile[@income < 30000])} 22 where empty($p/profile/@income)
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/dports/finance/gnucash/gnucash-4.9/gnucash/report/reports/standard/test/ |
H A D | test-charts.scm | 96 (income (cdr (assoc "Income" account-alist))) 100 (env-transfer env 12 01 1970 income bank1 10) 101 (env-transfer env 18 01 1970 income bank1 15) 102 (env-transfer env 03 03 1970 income bank1 200) 104 (env-transfer env 18 01 1970 income bank2 50) 105 (env-transfer env 18 02 1970 income bank2 50) 107 (env-transfer env 05 05 1969 income bank3 25) 108 (env-transfer env 05 01 1970 income bank3 25) 156 (income (cdr (assoc "Income" account-alist))) 176 (env-transfer env 11 02 YEAR income bank 29) [all …]
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/dports/math/py-statsmodels/statsmodels-0.13.1/examples/notebooks/ |
H A D | quantile_regression.ipynb | 66 "mod = smf.quantreg(\"foodexp ~ income\", data)\n", 101 " \"income\"\n", 108 "ols = smf.ols(\"foodexp ~ income\", data).fit()\n", 109 "ols_ci = ols.conf_int().loc[\"income\"].tolist()\n", 111 " a=ols.params[\"Intercept\"], b=ols.params[\"income\"], lb=ols_ci[0], ub=ols_ci[1]\n", 126 "1. Food expenditure increases with income\n", 127 "2. The *dispersion* of food expenditure increases with income\n", 128 … The least squares estimates fit low income observations quite poorly (i.e. the OLS line passes ov… 137 "x = np.arange(data.income.min(), data.income.max(), 50)\n", 149 "ax.scatter(data.income, data.foodexp, alpha=0.2)\n", [all …]
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/dports/games/augustus/augustus-3.1.0/src/window/advisor/ |
H A D | financial.c | 76 draw_row(60, 8, 155, last_year->income.taxes, this_year->income.taxes); in draw_background() 77 draw_row(60, 9, 170, last_year->income.exports, this_year->income.exports); in draw_background() 79 draw_row(60, 20, 200, last_year->income.donated, this_year->income.donated); in draw_background() 84 draw_row(60, 10, 218, last_year->income.total, this_year->income.total); in draw_background()
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