ERROR: unused argument (output.results = TRUE)
ERROR: unused argument (output.results = TRUE)
我的数据是这样的：
> dput(head(GDP_NUTS2,5))
structure(list(Regiao = c("T", "N", "Ag", "C", "AML"), t2000 = c(12529.42964,
10054.60679, 13045.59069, 10621.51789, 18104.36306), t2001 = c(13142.7713,
10652.46712, 13920.41552, 11101.08412, 18865.55149), t2002 = c(13714.17406,
11001.34917, 14612.37052, 11507.36163, 19812.29293), t2003 = c(13985.02689,
11031.7278, 15137.89461, 11884.96687, 20165.68892), t2004 = c(14537.15966,
11354.02317, 15479.68985, 12364.05053, 21068.05117), t2005 = c(15107.92333,
11875.44359, 16237.49791, 12754.40299, 21829.31373), t2006 = c(15816.27567,
12439.6426, 17046.29326, 13378.47797, 22714.25829), t2007 = c(16660.99538,
13229.02402, 17981.40383, 14044.39707, 23847.44923), t2008 = c(16971.19746,
13579.51144, 18226.74178, 14091.85326, 24347.83971), t2009 = c(16606.6617,
13243.19054, 17038.45595, 13974.46502, 23794.44899), t2010 = c(16986.91604,
13677.38358, 16976.83391, 14284.14565, 24119.66719), t2011 = c(16655.71238,
13491.68626, 16347.69468, 14011.54637, 23503.1765), t2012 = c(15963.69251,
13111.6173, 16059.51047, 13623.68635, 22118.01701), t2013 = c(16257.04222,
13473.68717, 16301.87448, 13919.18355, 22337.24739), t2014 = c(16596.21219,
13935.07757, 16974.57715, 14220.1043, 22491.62875), t2015 = c(17322.0514,
14570.33755, 17851.78088, 14983.95312, 23101.89351), t2016 = c(18033.44444,
15283.33044, 19251.57661, 15620.77307, 23800.20038), t2017 = c(19006.33518,
16083.53849, 20893.19975, 16410.11278, 24938.22636), t2018 = c(19938.15583,
17031.94867, 22131.96942, 17242.70015, 25974.24055), t2019 = c(20755.955,
17712.44223, 23145.30242, 18045.54697, 26970.71178)), row.names = c(NA,
-5L), class = c("tbl_df", "tbl", "data.frame"))
我正在使用“REAT”包来测试使用函数 betaconv.ols().[=16 比较 2000 年 (t2000) 和 2019 年 (t2019) 与 OLS（普通最小二乘法）估计的绝对 beta 收敛性=]
我使用过此代码：betaconv.ols(GDP_NUTS2$t2000, 2000, GDP_NUTS2$t2019, 2019, output.results = TRUE) 我尝试了其他版本的代码，但我的主要问题是 output.results=TRUE，因为我总是遇到此错误：Error in betaconv.ols(GDP_NUTS2$t2000, 2000, GDP_NUTS2$t2019, 2019, output.results = TRUE) : unused argument (output.results = TRUE)
我一直在寻找 output.results 的替代品，但没有成功。
任何帮助将不胜感激。
参数是print.results基于函数args
> args(betaconv.ols)
function (gdp1, time1, gdp2, time2, conditions = NULL, beta.plot = FALSE,
beta.plotPSize = 1, beta.plotPCol = "black", beta.plotLine = FALSE,
beta.plotLineCol = "red", beta.plotX = "Ln (initial)", beta.plotY = "Ln (growth)",
beta.plotTitle = "Beta convergence", beta.bgCol = "gray95",
beta.bgrid = TRUE, beta.bgridCol = "white", beta.bgridSize = 2,
beta.bgridType = "solid", print.results = FALSE)
NULL
betaconv.ols(GDP_NUTS2$t2000, 2000, GDP_NUTS2$t2019, 2019, print.results = TRUE)
-输出
Absolute Beta Convergence
Model coefficients (Estimation method: OLS)
Estimate Std. Error t value Pr (>|t|)
Alpha 1.537689e-01 0.048509886 3.169847 0.05048663
Beta -1.341938e-02 0.005137275 -2.612158 0.07953682
Lambda 7.110647e-04 NA NA NA
Halflife 9.748018e+02 NA NA NA
Model summary
Estimate F value df 1 df 2 Pr (>F)
R-Squared 0.6946059 6.823372 1 3 0.07953682
我的数据是这样的：
> dput(head(GDP_NUTS2,5))
structure(list(Regiao = c("T", "N", "Ag", "C", "AML"), t2000 = c(12529.42964,
10054.60679, 13045.59069, 10621.51789, 18104.36306), t2001 = c(13142.7713,
10652.46712, 13920.41552, 11101.08412, 18865.55149), t2002 = c(13714.17406,
11001.34917, 14612.37052, 11507.36163, 19812.29293), t2003 = c(13985.02689,
11031.7278, 15137.89461, 11884.96687, 20165.68892), t2004 = c(14537.15966,
11354.02317, 15479.68985, 12364.05053, 21068.05117), t2005 = c(15107.92333,
11875.44359, 16237.49791, 12754.40299, 21829.31373), t2006 = c(15816.27567,
12439.6426, 17046.29326, 13378.47797, 22714.25829), t2007 = c(16660.99538,
13229.02402, 17981.40383, 14044.39707, 23847.44923), t2008 = c(16971.19746,
13579.51144, 18226.74178, 14091.85326, 24347.83971), t2009 = c(16606.6617,
13243.19054, 17038.45595, 13974.46502, 23794.44899), t2010 = c(16986.91604,
13677.38358, 16976.83391, 14284.14565, 24119.66719), t2011 = c(16655.71238,
13491.68626, 16347.69468, 14011.54637, 23503.1765), t2012 = c(15963.69251,
13111.6173, 16059.51047, 13623.68635, 22118.01701), t2013 = c(16257.04222,
13473.68717, 16301.87448, 13919.18355, 22337.24739), t2014 = c(16596.21219,
13935.07757, 16974.57715, 14220.1043, 22491.62875), t2015 = c(17322.0514,
14570.33755, 17851.78088, 14983.95312, 23101.89351), t2016 = c(18033.44444,
15283.33044, 19251.57661, 15620.77307, 23800.20038), t2017 = c(19006.33518,
16083.53849, 20893.19975, 16410.11278, 24938.22636), t2018 = c(19938.15583,
17031.94867, 22131.96942, 17242.70015, 25974.24055), t2019 = c(20755.955,
17712.44223, 23145.30242, 18045.54697, 26970.71178)), row.names = c(NA,
-5L), class = c("tbl_df", "tbl", "data.frame"))
我正在使用“REAT”包来测试使用函数 betaconv.ols().[=16 比较 2000 年 (t2000) 和 2019 年 (t2019) 与 OLS（普通最小二乘法）估计的绝对 beta 收敛性=]
我使用过此代码：betaconv.ols(GDP_NUTS2$t2000, 2000, GDP_NUTS2$t2019, 2019, output.results = TRUE) 我尝试了其他版本的代码，但我的主要问题是 output.results=TRUE，因为我总是遇到此错误：Error in betaconv.ols(GDP_NUTS2$t2000, 2000, GDP_NUTS2$t2019, 2019, output.results = TRUE) : unused argument (output.results = TRUE)
我一直在寻找 output.results 的替代品，但没有成功。
任何帮助将不胜感激。
参数是print.results基于函数args
> args(betaconv.ols)
function (gdp1, time1, gdp2, time2, conditions = NULL, beta.plot = FALSE,
beta.plotPSize = 1, beta.plotPCol = "black", beta.plotLine = FALSE,
beta.plotLineCol = "red", beta.plotX = "Ln (initial)", beta.plotY = "Ln (growth)",
beta.plotTitle = "Beta convergence", beta.bgCol = "gray95",
beta.bgrid = TRUE, beta.bgridCol = "white", beta.bgridSize = 2,
beta.bgridType = "solid", print.results = FALSE)
NULL
betaconv.ols(GDP_NUTS2$t2000, 2000, GDP_NUTS2$t2019, 2019, print.results = TRUE)
-输出
Absolute Beta Convergence
Model coefficients (Estimation method: OLS)
Estimate Std. Error t value Pr (>|t|)
Alpha 1.537689e-01 0.048509886 3.169847 0.05048663
Beta -1.341938e-02 0.005137275 -2.612158 0.07953682
Lambda 7.110647e-04 NA NA NA
Halflife 9.748018e+02 NA NA NA
Model summary
Estimate F value df 1 df 2 Pr (>F)
R-Squared 0.6946059 6.823372 1 3 0.07953682