{"id":1109,"date":"2016-05-01T07:00:22","date_gmt":"2016-05-01T07:00:22","guid":{"rendered":"http:\/\/lamalaga.com\/esp\/?p=1109"},"modified":"2016-06-10T23:36:10","modified_gmt":"2016-06-10T23:36:10","slug":"peru-gasto-publico-en-educacion-superior-estimaciones-varias","status":"publish","type":"post","link":"http:\/\/lamalaga.com\/esp\/peru-gasto-publico-en-educacion-superior-estimaciones-varias\/","title":{"rendered":"Per\u00fa. Gasto p\u00fablico en educaci\u00f3n superior, estimaciones varias"},"content":{"rendered":"<p><b>Gr\u00e1fico 1<\/b><i> Gasto en Universidad P\u00fablica\/PBI % vs PBI per c\u00e1pita en d\u00f3lares constantes 2005<\/i><\/p>\n<div class=\"container-fluid main-container\">\n<p><img decoding=\"async\" title=\"\" 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\" alt=\"\" width=\"672\" \/><\/p>\n<p>Elaboraci\u00f3n propia.<\/p>\n<hr \/>\n<p><span style=\"color: #808080;\">Datos:<\/span><br \/>\n<span style=\"color: #808080;\"> <i>PBI per c\u00e1pita en USD constantes 2005<\/i><\/span><\/p>\n<ul>\n<li><span style=\"color: #808080;\">World Bank Development Indicators<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #808080;\"><i>Gasto en Universidad P\u00fablica\/PBI %<\/i><\/span><\/p>\n<ul>\n<li><span style=\"color: #808080;\">Escale, Estad\u00edsticas educativas; Gasto p\u00fablico en educaci\u00f3n por alumno, superior universitaria (soles corrientes). <a style=\"color: #808080;\" href=\"http:\/\/escale.minedu.gob.pe\/tendencias\">Disponible en http:\/\/escale.minedu.gob.pe\/tendencias<\/a><\/span><\/li>\n<li><span style=\"color: #808080;\">Per\u00fa ante la sociedad del conocimiento: indicadores de ciencia, tecnolog\u00eda, innovaci\u00f3n 1960 &#8211; 2002; Gasto en Universidad P\u00fablica\/PBI % (Para 1970 al 2002), cuadro I.6<\/span><\/li>\n<li><span style=\"color: #808080;\">INEI; Matriculados en educaci\u00f3n superior universitaria. <a style=\"color: #808080;\" href=\"https:\/\/www.inei.gob.pe\/estadisticas\/indice-tematico\/university-tuition\/ \">Disponible en https:\/\/www.inei.gob.pe\/estadisticas\/indice-tematico\/university-tuition\/ <\/a><\/span><\/li>\n<li><span style=\"color: #808080;\">Banco Central de Reserva; PBI en soles corrientes. <a style=\"color: #808080;\" href=\"http:\/\/www.bcrp.gob.pe\/estadisticas\/cuadros-anuales-historicos.html\">Disponible en http:\/\/www.bcrp.gob.pe\/estadisticas\/cuadros-anuales-historicos.html <\/a><\/span><\/li>\n<li><span style=\"color: #808080;\">CINDA. Informes por pa\u00eds: Educaci\u00f3n Superior en Iberoam\u00e9rica (2011) (Per\u00fa).<a style=\"color: #808080;\" href=\"http:\/\/www.cinda.cl\/informes-por-pais-educacion-superior-en-iberoamerica-2011\/\">Disponible en http:\/\/www.cinda.cl\/informes-por-pais-educacion-superior-en-iberoamerica-2011\/<\/a><\/span><\/li>\n<\/ul>\n<hr \/>\n<p>Lo primero que llama la atenci\u00f3n del gr\u00e1fico es la repentina disminuci\u00f3n del gasto en universidades p\u00fablicas despu\u00e9s del 2002. Esta \u201cdisminuci\u00f3n\u201d se debe en parte al aumento del PBI pero tambi\u00e9n puede deberse a que el gr\u00e1fico proviene de diferentes fuentes que siguen diferentes metodolog\u00edas en los criterios seguidos para determinar qu\u00e9 es \u201cgasto p\u00fablico en universidades p\u00fablicas\u201d. Al respecto, el Concytec explica en su parte metodolog\u00edca (Per\u00fa ante la sociedad del conocimiento: indicadores de ciencia, tecnolog\u00eda, innovaci\u00f3n 1960 &#8211; 2002, p.\u00a0282) que para el c\u00e1lculo del gasto se tom\u00f3 en cuenta el gasto corriente y el gasto de capital el cual es generalmente omitido en series disponibles. Para la estimaci\u00f3n encontrada en el CINDA (s\u00f3lo a\u00f1os 2006-2010) los criterios metodol\u00f3gicos seguidos no son claros pero se lista por separado (no incluidos aqu\u00ed) el gasto en I+D, el gasto en el sector otros y el gasto en educaci\u00f3n superior no universitaria. En los datos de ESCALE a su vez hay una serie de gastos no incluidos:<\/p>\n<ul>\n<li>Educaci\u00f3n superior financiada con recursos directamente recaudados (programa 048 y fuente 2).<\/li>\n<li>CONCYTEC, Instituto Peruano del Deporte y Centro Vacacional Huampan\u00ed (pliegos 111, 114 y 342).<\/li>\n<li>Transferencias a municipios, gobiernos regionales y otros organismos p\u00fablicos (modalidades 20, 21 y 22).<\/li>\n<li>Programa de asistencia social (programas 051).<\/li>\n<li>Sub Programa de becas y cr\u00e9ditos educativos (sub programa 0113).<\/li>\n<li>Actividad proyecto de alfabetizaci\u00f3n (actividad proyecto 000022).<\/li>\n<\/ul>\n<p>Adem\u00e1s, los datos de Escale est\u00e1n listados como \u201cGasto p\u00fablico en educaci\u00f3n por alumno, superior universitaria (soles corrientes)\u201d lo cual significa que para poner estos montos como porcentaje del PBI se han tenido que someter a la siguiente transformaci\u00f3n: <span class=\"math display\">\\[\\frac{(Indicador\\:Original)(N\u00famero\\: de\\:estudiantes\\:matriculados\\:en\\:universidades)}{PBI\\:en\\:soles\\:corrientes}\\times 100\\]<\/span> Eso a su vez implica que para este indicador se han revisado varias fuentes adicionales (INEI para la matr\u00edcula, Banco Central de Reserva para el PBI) lo cual aumenta la posibilidad de error.<\/p>\n<p>Si el an\u00e1lisis se realiza tomando en cuenta toda la educaci\u00f3n superior (universitaria y no universitaria) la situaci\u00f3n se repite, es decir los montos estimados difieren. En este caso la estimaci\u00f3n del CINDA corresponde a Presupuesto de Educaci\u00f3n Superior como porcentaje del PBI.<\/p>\n<p><b>Gr\u00e1fico 2<\/b><i> Gasto en Educaci\u00f3n Superior\/PBI % vs PBI per c\u00e1pita en d\u00f3lares constantes 2005<\/i> <img decoding=\"async\" title=\"\" 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\" alt=\"\" width=\"672\" \/><\/p>\n<p>Elaboraci\u00f3n propia.<\/p>\n<hr \/>\n<p><span style=\"color: #808080;\">Datos:<\/span><\/p>\n<p><span style=\"color: #808080;\">PBI per c\u00e1pita en USD constantes 2005<\/span><\/p>\n<ul>\n<li><span style=\"color: #808080;\">World Bank Development Indicators<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #808080;\"><i>Gasto en Universidad P\u00fablica\/PBI %<\/i><\/span><\/p>\n<ul>\n<li><span style=\"color: #808080;\">Per\u00fa ante la sociedad del conocimiento: indicadores de ciencia, tecnolog\u00eda, innovaci\u00f3n 1960 &#8211; 2002; Gasto en Educaci\u00f3n Superior\/PBI % (Para 1970 al 2002), cuadro I.6<\/span><\/li>\n<li><span style=\"color: #808080;\">CINDA. Informes por pa\u00eds: Educaci\u00f3n Superior en Iberoam\u00e9rica (2011) (Per\u00fa).Presupuesto de Educaci\u00f3n Superior como porcentaje del PBI. <a style=\"color: #808080;\" href=\"http:\/\/www.cinda.cl\/informes-por-pais-educacion-superior-en-iberoamerica-2011\/\">Disponible en http:\/\/www.cinda.cl\/informes-por-pais-educacion-superior-en-iberoamerica-2011\/<\/a><\/span><\/li>\n<\/ul>\n<hr \/>\n<p>A continuaci\u00f3n est\u00e1 el c\u00f3digo utilizado para generar los gr\u00e1ficos.<\/p>\n<div style=\"overflow: auto;\">\n<div class=\"geshifilter\">\n<pre class=\"r geshifilter-R\" style=\"font-family: monospace;\"><span style=\"color: #666666; font-style: italic;\">#Gr\u00e1fico 1<\/span>\r\nimasd_peru &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/utils\/read.csv\"><span style=\"color: #003399; font-weight: bold;\">read.csv<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"C:\/Users\/Lucia\/Dropbox\/RArch\/imasd_peru.csv\"<\/span><span style=\"color: #009900;\">)<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#Datos de CINDA, montos en millones de US$<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#2006<\/span>\r\nPBI2006&lt;-<span style=\"color: #cc66cc;\">546<\/span>\/<span style=\"color: #cc66cc;\">0.0059<\/span>\r\nPBI2007&lt;-<span style=\"color: #cc66cc;\">699.7<\/span>\/<span style=\"color: #cc66cc;\">0.0065<\/span>\r\nPBI2008&lt;-<span style=\"color: #cc66cc;\">839.2<\/span>\/<span style=\"color: #cc66cc;\">0.0065<\/span>\r\nPBI2009&lt;-<span style=\"color: #cc66cc;\">984.9<\/span>\/<span style=\"color: #cc66cc;\">0.0077<\/span>\r\nPBI2010&lt;-<span style=\"color: #cc66cc;\">997.2<\/span>\/<span style=\"color: #cc66cc;\">0.0067<\/span>\r\nEDentrePBI2006porciento&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/round\"><span style=\"color: #003399; font-weight: bold;\">round<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">312.4<\/span>+<span style=\"color: #cc66cc;\">19.9<\/span><span style=\"color: #009900;\">)<\/span>\/PBI2006*<span style=\"color: #cc66cc;\">100<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2<\/span><span style=\"color: #009900;\">)<\/span>\r\nEDentrePBI2007porciento&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/round\"><span style=\"color: #003399; font-weight: bold;\">round<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">418.3<\/span>+<span style=\"color: #cc66cc;\">21.7<\/span><span style=\"color: #009900;\">)<\/span>\/PBI2007*<span style=\"color: #cc66cc;\">100<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2<\/span><span style=\"color: #009900;\">)<\/span>\r\nEDentrePBI2008porciento&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/round\"><span style=\"color: #003399; font-weight: bold;\">round<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">496.7<\/span>+<span style=\"color: #cc66cc;\">23<\/span><span style=\"color: #009900;\">)<\/span>\/PBI2008*<span style=\"color: #cc66cc;\">100<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2<\/span><span style=\"color: #009900;\">)<\/span>\r\nEDentrePBI2009porciento&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/round\"><span style=\"color: #003399; font-weight: bold;\">round<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">533<\/span>+<span style=\"color: #cc66cc;\">27.7<\/span><span style=\"color: #009900;\">)<\/span>\/PBI2009*<span style=\"color: #cc66cc;\">100<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2<\/span><span style=\"color: #009900;\">)<\/span>\r\nEDentrePBI2010porciento&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/round\"><span style=\"color: #003399; font-weight: bold;\">round<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">527.8<\/span>+<span style=\"color: #cc66cc;\">30<\/span><span style=\"color: #009900;\">)<\/span>\/PBI2010*<span style=\"color: #cc66cc;\">100<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2<\/span><span style=\"color: #009900;\">)<\/span>\r\nCINDA_gasto&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span>EDentrePBI2006porciento<span style=\"color: #339933;\">,<\/span>EDentrePBI2007porciento<span style=\"color: #339933;\">,<\/span>EDentrePBI2008porciento<span style=\"color: #339933;\">,<\/span>EDentrePBI2009porciento<span style=\"color: #339933;\">,<\/span>EDentrePBI2010porciento<span style=\"color: #009900;\">)<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#identifico la variable x<\/span>\r\n\u00a0\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/packages\/cran\/ggplot2\">ggplot2<\/a><span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/packages\/cran\/RColorBrewer\">RColorBrewer<\/a><span style=\"color: #009900;\">)<\/span>\r\nx &lt;- imasd_peru$A_Year\r\n\u00a0\r\nd1 &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/data.frame\"><span style=\"color: #003399; font-weight: bold;\">data.frame<\/span><\/a><span style=\"color: #009900;\">(<\/span>x=x<span style=\"color: #339933;\">,<\/span> y=imasd_peru$I_PBI.per.capita.WB.2005.USD..<span style=\"color: #009900;\">)<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#xy &lt;- expand.grid(x=x, y=x)<\/span>\r\nd2 &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/data.frame\"><span style=\"color: #003399; font-weight: bold;\">data.frame<\/span><\/a><span style=\"color: #009900;\">(<\/span>x=<a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span>imasd_peru$A_Year<span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/seq\"><span style=\"color: #003399; font-weight: bold;\">seq<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">2006<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2010<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span> y=<a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span>imasd_peru$J_GastoUnivPublica.PBI.<span style=\"color: #009900;\">[<\/span><span style=\"color: #cc66cc;\">1<\/span>:<span style=\"color: #cc66cc;\">33<\/span><span style=\"color: #009900;\">]<\/span><span style=\"color: #339933;\">,<\/span>imasd_peru$AF_GastoUnivPublica.PBI._trasnformado<span style=\"color: #009900;\">[<\/span><span style=\"color: #cc66cc;\">34<\/span>:<span style=\"color: #cc66cc;\">46<\/span><span style=\"color: #009900;\">]<\/span><span style=\"color: #339933;\">,<\/span>CINDA_gasto<span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span> Fuentes= <a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/rep\"><span style=\"color: #003399; font-weight: bold;\">rep<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"Concytec\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">33<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/rep\"><span style=\"color: #003399; font-weight: bold;\">rep<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"Escale\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">13<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/rep\"><span style=\"color: #003399; font-weight: bold;\">rep<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"CINDA\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">5<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>\r\n\u00a0\r\np1 &lt;-  <a href=\"http:\/\/inside-r.org\/packages\/cran\/ggplot\">ggplot<\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/utils\/data\"><span style=\"color: #003399; font-weight: bold;\">data<\/span><\/a> = d1<span style=\"color: #339933;\">,<\/span> mapping = aes<span style=\"color: #009900;\">(<\/span>x = x<span style=\"color: #339933;\">,<\/span> y = y<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span> + \r\n  geom_line<span style=\"color: #009900;\">(<\/span>stat = <span style=\"color: #0000ff;\">\"identity\"<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  ylab<span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"PBI per c\u00e1pita (USD 2005)\"<\/span><span style=\"color: #009900;\">)<\/span> \r\n\u00a0\r\np2 &lt;-  <a href=\"http:\/\/inside-r.org\/packages\/cran\/ggplot\">ggplot<\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/utils\/data\"><span style=\"color: #003399; font-weight: bold;\">data<\/span><\/a> = d2<span style=\"color: #339933;\">,<\/span> mapping = aes<span style=\"color: #009900;\">(<\/span>x=x<span style=\"color: #339933;\">,<\/span> y=y<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span> + \r\n  geom_point<span style=\"color: #009900;\">(<\/span>aes<span style=\"color: #009900;\">(<\/span>colour=Fuentes<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  geom_line<span style=\"color: #009900;\">(<\/span>aes<span style=\"color: #009900;\">(<\/span>colour = Fuentes<span style=\"color: #339933;\">,<\/span> linetype = Fuentes<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  ylab<span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"Gasto en univ. p\u00fablicas\/PBI %\"<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  scale_colour_brewer<span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/grDevices\/palette\"><span style=\"color: #003399; font-weight: bold;\">palette<\/span><\/a>=<span style=\"color: #0000ff;\">\"Set1\"<\/span><span style=\"color: #009900;\">)<\/span>\r\n\u00a0\r\n<span style=\"color: #666666; font-style: italic;\">## convert plots to gtable objects<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span>gtable<span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/graphics\/grid\"><span style=\"color: #003399; font-weight: bold;\">grid<\/span><\/a><span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># low-level grid functions are required<\/span>\r\ng1 &lt;- ggplotGrob<span style=\"color: #009900;\">(<\/span>p1<span style=\"color: #009900;\">)<\/span>\r\ng1 &lt;- gtable_add_cols<span style=\"color: #009900;\">(<\/span>g1<span style=\"color: #339933;\">,<\/span> <a href=\"http:\/\/inside-r.org\/r-doc\/grid\/unit\"><span style=\"color: #003399; font-weight: bold;\">unit<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">0<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #0000ff;\">\"mm\"<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># add a column for missing legend<\/span>\r\ng2 &lt;- ggplotGrob<span style=\"color: #009900;\">(<\/span>p2<span style=\"color: #009900;\">)<\/span>\r\ng &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/rbind\"><span style=\"color: #003399; font-weight: bold;\">rbind<\/span><\/a><span style=\"color: #009900;\">(<\/span>g1<span style=\"color: #339933;\">,<\/span> g2<span style=\"color: #339933;\">,<\/span> size=<span style=\"color: #0000ff;\">\"first\"<\/span><span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># stack the two plots<\/span>\r\ng$widths &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/grid\/unit.pmax\"><span style=\"color: #003399; font-weight: bold;\">unit.pmax<\/span><\/a><span style=\"color: #009900;\">(<\/span>g1$widths<span style=\"color: #339933;\">,<\/span> g2$widths<span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># use the largest widths<\/span>\r\n<span style=\"color: #666666; font-style: italic;\"># center the legend vertically<\/span>\r\ng$layout<span style=\"color: #009900;\">[<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/grepl\"><span style=\"color: #003399; font-weight: bold;\">grepl<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"guide\"<\/span><span style=\"color: #339933;\">,<\/span> g$layout$name<span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"t\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #0000ff;\">\"b\"<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">]<\/span> &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">1<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/nrow\"><span style=\"color: #003399; font-weight: bold;\">nrow<\/span><\/a><span style=\"color: #009900;\">(<\/span>g<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/grid\/grid.newpage\"><span style=\"color: #003399; font-weight: bold;\">grid.newpage<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/grid\/grid.draw\"><span style=\"color: #003399; font-weight: bold;\">grid.draw<\/span><\/a><span style=\"color: #009900;\">(<\/span>g<span style=\"color: #009900;\">)<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#####<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#Gr\u00e1fico 2<\/span>\r\nx&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/seq\"><span style=\"color: #003399; font-weight: bold;\">seq<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">1970<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">2015<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1<\/span><span style=\"color: #009900;\">)<\/span>\r\ngasto&lt;-<a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">0.54<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.45<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.67<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.62<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.74<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.62<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.57<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.65<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.58<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.58<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.74<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.73<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.75<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.77<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.75<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.78<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.01<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.61<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.67<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.43<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.37<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.89<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.15<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.99<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.23<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.27<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.34<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.48<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.7<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.68<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.76<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">1.78<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.59<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.65<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.65<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.77<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">0.67<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #000000; font-weight: bold;\">NA<\/span><span style=\"color: #009900;\">)<\/span>\r\nimasd_peru &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/utils\/read.csv\"><span style=\"color: #003399; font-weight: bold;\">read.csv<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"C:\/Users\/Lucia\/Dropbox\/RArch\/imasd_peru.csv\"<\/span><span style=\"color: #009900;\">)<\/span>\r\n\u00a0\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/packages\/cran\/ggplot2\">ggplot2<\/a><span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/packages\/cran\/RColorBrewer\">RColorBrewer<\/a><span style=\"color: #009900;\">)<\/span>\r\n\u00a0\r\nd1 &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/data.frame\"><span style=\"color: #003399; font-weight: bold;\">data.frame<\/span><\/a><span style=\"color: #009900;\">(<\/span>x=x<span style=\"color: #339933;\">,<\/span> y=imasd_peru$I_PBI.per.capita.WB.2005.USD..<span style=\"color: #009900;\">)<\/span>\r\n<span style=\"color: #666666; font-style: italic;\">#xy &lt;- expand.grid(x=x, y=x)<\/span>\r\nd2 &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/data.frame\"><span style=\"color: #003399; font-weight: bold;\">data.frame<\/span><\/a><span style=\"color: #009900;\">(<\/span>x=x<span style=\"color: #339933;\">,<\/span> y=gasto<span style=\"color: #339933;\">,<\/span> Fuentes= <a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/rep\"><span style=\"color: #003399; font-weight: bold;\">rep<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"Concytec\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">33<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/rep\"><span style=\"color: #003399; font-weight: bold;\">rep<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"CINDA\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #cc66cc;\">13<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>\r\n\u00a0\r\np1 &lt;-  <a href=\"http:\/\/inside-r.org\/packages\/cran\/ggplot\">ggplot<\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/utils\/data\"><span style=\"color: #003399; font-weight: bold;\">data<\/span><\/a> = d1<span style=\"color: #339933;\">,<\/span> mapping = aes<span style=\"color: #009900;\">(<\/span>x = x<span style=\"color: #339933;\">,<\/span> y = y<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span> + \r\n  geom_line<span style=\"color: #009900;\">(<\/span>stat = <span style=\"color: #0000ff;\">\"identity\"<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  ylab<span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"PBI per c\u00e1pita (USD 2005)\"<\/span><span style=\"color: #009900;\">)<\/span> \r\n\u00a0\r\np2 &lt;-  <a href=\"http:\/\/inside-r.org\/packages\/cran\/ggplot\">ggplot<\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/utils\/data\"><span style=\"color: #003399; font-weight: bold;\">data<\/span><\/a> = d2<span style=\"color: #339933;\">,<\/span> mapping = aes<span style=\"color: #009900;\">(<\/span>x=x<span style=\"color: #339933;\">,<\/span> y=y<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span> + \r\n  geom_point<span style=\"color: #009900;\">(<\/span>aes<span style=\"color: #009900;\">(<\/span>colour=Fuentes<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  geom_line<span style=\"color: #009900;\">(<\/span>aes<span style=\"color: #009900;\">(<\/span>colour = Fuentes<span style=\"color: #339933;\">,<\/span> linetype = Fuentes<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  ylab<span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"Gasto en educ. superior\/PBI %\"<\/span><span style=\"color: #009900;\">)<\/span>+\r\n  scale_colour_brewer<span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/grDevices\/palette\"><span style=\"color: #003399; font-weight: bold;\">palette<\/span><\/a>=<span style=\"color: #0000ff;\">\"Set1\"<\/span><span style=\"color: #009900;\">)<\/span>\r\n\u00a0\r\n<span style=\"color: #666666; font-style: italic;\">## convert plots to gtable objects<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span>gtable<span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/base\/library\"><span style=\"color: #003399; font-weight: bold;\">library<\/span><\/a><span style=\"color: #009900;\">(<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/graphics\/grid\"><span style=\"color: #003399; font-weight: bold;\">grid<\/span><\/a><span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># low-level grid functions are required<\/span>\r\ng1 &lt;- ggplotGrob<span style=\"color: #009900;\">(<\/span>p1<span style=\"color: #009900;\">)<\/span>\r\ng1 &lt;- gtable_add_cols<span style=\"color: #009900;\">(<\/span>g1<span style=\"color: #339933;\">,<\/span> <a href=\"http:\/\/inside-r.org\/r-doc\/grid\/unit\"><span style=\"color: #003399; font-weight: bold;\">unit<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">0<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #0000ff;\">\"mm\"<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># add a column for missing legend<\/span>\r\ng2 &lt;- ggplotGrob<span style=\"color: #009900;\">(<\/span>p2<span style=\"color: #009900;\">)<\/span>\r\ng &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/rbind\"><span style=\"color: #003399; font-weight: bold;\">rbind<\/span><\/a><span style=\"color: #009900;\">(<\/span>g1<span style=\"color: #339933;\">,<\/span> g2<span style=\"color: #339933;\">,<\/span> size=<span style=\"color: #0000ff;\">\"first\"<\/span><span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># stack the two plots<\/span>\r\ng$widths &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/grid\/unit.pmax\"><span style=\"color: #003399; font-weight: bold;\">unit.pmax<\/span><\/a><span style=\"color: #009900;\">(<\/span>g1$widths<span style=\"color: #339933;\">,<\/span> g2$widths<span style=\"color: #009900;\">)<\/span> <span style=\"color: #666666; font-style: italic;\"># use the largest widths<\/span>\r\n<span style=\"color: #666666; font-style: italic;\"># center the legend vertically<\/span>\r\ng$layout<span style=\"color: #009900;\">[<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/grepl\"><span style=\"color: #003399; font-weight: bold;\">grepl<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"guide\"<\/span><span style=\"color: #339933;\">,<\/span> g$layout$name<span style=\"color: #009900;\">)<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #0000ff;\">\"t\"<\/span><span style=\"color: #339933;\">,<\/span><span style=\"color: #0000ff;\">\"b\"<\/span><span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">]<\/span> &lt;- <a href=\"http:\/\/inside-r.org\/r-doc\/base\/c\"><span style=\"color: #003399; font-weight: bold;\">c<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #cc66cc;\">1<\/span><span style=\"color: #339933;\">,<\/span><a href=\"http:\/\/inside-r.org\/r-doc\/base\/nrow\"><span style=\"color: #003399; font-weight: bold;\">nrow<\/span><\/a><span style=\"color: #009900;\">(<\/span>g<span style=\"color: #009900;\">)<\/span><span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/grid\/grid.newpage\"><span style=\"color: #003399; font-weight: bold;\">grid.newpage<\/span><\/a><span style=\"color: #009900;\">(<\/span><span style=\"color: #009900;\">)<\/span>\r\n<a href=\"http:\/\/inside-r.org\/r-doc\/grid\/grid.draw\"><span style=\"color: #003399; font-weight: bold;\">grid.draw<\/span><\/a><span style=\"color: #009900;\">(<\/span>g<span style=\"color: #009900;\">)<\/span><\/pre>\n<\/div>\n<\/div>\n<p><a title=\"Created by Pretty R at inside-R.org\" href=\"http:\/\/www.inside-r.org\/pretty-r\">Created by Pretty R at inside-R.org<\/a><\/p>\n<\/div>\n<p><script>\/\/ <![CDATA[\n\/\/ add bootstrap table styles to pandoc tables $(document).ready(function () { $('tr.header').parent('thead').parent('table').addClass('table table-condensed'); });\n\/\/ ]]><\/script><\/p>\n<p><!-- dynamically load mathjax for compatibility with self-contained --><br \/>\n<script>\/\/ <![CDATA[\n(function () { var script = document.createElement(\"script\"); script.type = \"text\/javascript\"; script.src = \"https:\/\/cdn.mathjax.org\/mathjax\/latest\/MathJax.js?config=TeX-AMS-MML_HTMLorMML\"; document.getElementsByTagName(\"head\")[0].appendChild(script); })();\n\/\/ ]]><\/script><\/p>\n<p>&nbsp;<br \/>\n<div class=\"rpbt_shortcode\">\n<h3>Art\u00edculos Relacionados<\/h3>\n<ul>\n\t\t\t\t\t\n\t\t\t<li>\n\t\t\t\t<a href=\"http:\/\/lamalaga.com\/esp\/indicadores-de-ciencia-y-tecnologia-en-el-peru\/\">Indicadores de Ciencia y Tecnolog\u00eda en el Per\u00fa<\/a>\n\t\t\t<\/li>\n\t\t\t\t\t\n\t\t\t<li>\n\t\t\t\t<a href=\"http:\/\/lamalaga.com\/esp\/por-que-los-rankings-son-enganos\/\">\u00bfPor qu\u00e9 los rankings son enga\u00f1osos?<\/a>\n\t\t\t<\/li>\n\t\t\t\t\t\n\t\t\t<li>\n\t\t\t\t<a href=\"http:\/\/lamalaga.com\/esp\/quien-soy-un-post-personal-con-sunburstr\/\">\u00bfQui\u00e9n soy? 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