Need Help turning matching factors to a vector to create a dummy variable

问题

I am working on a project analyzing natural disasters effect on interest rates. I am trying to control for countries that use the euro. I want to match a vector that describes the countries that use the euro and create a column that has a dummy variable for each country: 1 if they use the euro and 0 if not.

Country EURO
ARG       0
FRA       1
GBR       0
CHN       0

I've tried to set the euro category to a Boolean variable, but I have not had any success. I am relatively new to R so I am not confident I am coding it right.

I have created the euro column with this code:

exchangerates$euro <- exchangerates$Country

I have set aside a vector that lists the countries that use the euro:

euro_countries <- c("AUT", "BEL", "CYP", "EST", "FIN",
                    "FRA", "DEU", "GRC", "IRL", "ITA",
                    "EU28", "LVA", "LTU", "LUX", "MLT",
                    "NLD", "PRT", "SVK", "SVN")

All help is appreciated. I just want to make a dummy category using factor levels.

Here is a picture of my data in a table. The euro column just has the countries listed when I want the euro_countries vector to be matched with the countries and a 1 placed where the matched countries are

This is the output when I use the dput function:

6.625, 6.625, 6.625, 6.625, 6.646758, 8.57, 8.57, 8.57, 41.094167, 
75.804733, 91.579292, 122.432417, 134.506333, 142.171667, 
157.066667, 179.729167, 207.689167, 257.229167, 285.684695, 
308.186667, 328.870833, 359.817527, 398.662222, 437.935, 
477.786741, 516.61739, 526.235513, 573.287957, 525.829201, 
505.66424, 502.901462, 499.766833, 534.56577, 544.739367, 
567.51309, 0.610215, 0.711918, 0.711918, 0.899819, 0.793523, 
0.773006, 0.79674, 0.884758, 1.063449, 0.884104, 0.800652, 
0.728078, 27.144917, 31.698417, 32.281167, 38.598417, 32.738518, 
28.209, 23.957417, 22.595583, 20.293667, 17.071667, 19.063, 
19.09825, 19.5775, 19.570583, 23.376333, 21.729917, 0.826111, 
0.84851, 0.798459, 0.84533, 0.829721, 0.732749, 0.769379, 
0.886609, 0.899704, 0.938627, 1.11751, 1.062552, 0.886034, 
0.805365, 0.80412, 0.797141, 0.730638, 0.682675, 0.719843, 
0.755045, 0.719355, 0.778294, 0.753159, 0.753731, 0.904035, 
0.887397, 0.847186, 6.045025, 5.635942, 7.123367, 9.144992, 
10.596392, 6.188558, 6.036133, 6.97624, 7.894714, 5.99691, 
5.443701, 5.624075, 5.616312, 0.238301, 0.234094, 0.248228, 
0.360607, 0.417515, 0.386279, 0.35015, 0.460783, 0.403429, 
0.430937, 0.554865, 0.660267, 0.862031, 0.966193, 1.021986, 
0.74212, 0.711464, 0.612635, 0.624521, 0.805104, 0.749396, 
0.761251, 0.879964, 0.897884, 0.938627, 1.085401, 1.11751, 
1.062552, 0.886034, 0.805365, 0.80412, 0.797141, 0.730638, 
0.719843, 0.755045, 0.719355, 0.778294, 0.753159, 0.753731, 
0.901659, 0.904035, 0.887397, 0.847186, 0.804251, 0.79669, 
0.778294, 0.847186, 0.643067, 0.80412, 0.639863, 0.75265, 
0.75265, 0.79185, 0.846731, 0.732194, 0.747789, 0.688018, 
0.648582, 0.644185, 0.828501, 1.00191, 1.161858, 1.332267, 
1.369789, 1.055876, 0.916327, 0.90813, 0.972646, 0.830127, 
0.860135, 0.807037, 0.863354, 0.846404, 0.760947, 0.779856, 
0.889798, 0.899375, 0.938627, 1.085401, 1.11751, 1.062552, 
0.886034, 0.805365, 0.80412, 0.797141, 0.730638, 0.682675, 
0.719843, 0.755045, 0.719355, 0.778294, 0.753159, 0.753731, 
0.901659, 0.904035, 0.887397, 0.847186, 0.357143, 0.357143, 
0.416667, 0.40039, 0.55651, 0.573272, 0.497641, 0.659725, 
0.751807, 0.779246, 0.682197, 0.611927, 0.611173, 0.563177, 
0.567015, 0.666757, 0.653427, 0.633668, 0.640958, 0.610836, 
0.603824, 0.618057, 0.660931, 0.694655, 0.667223, 0.612472, 
0.54618, 0.549998, 0.499772, 0.543966, 0.641919, 0.647179, 
0.633047, 0.639661, 0.60773, 0.654545, 0.777003, 0.749582, 
0.0773, 0.088042, 0.088042, 0.088041, 0.088041, 0.088041, 
0.088041, 0.088041, 0.10811, 0.107837, 0.108697, 0.125067, 
0.162607, 0.258442, 0.33079, 0.405338, 0.410803, 0.397445, 
0.416318, 0.465191, 0.534898, 0.67278, 0.711967, 0.679861, 
0.706417, 0.801344, 0.86729, 0.896982, 1.072336, 1.11751, 
1.062552, 0.886034, 0.805365, 0.797141, 0.730638, 0.682675, 
0.719843, 0.755045, 0.778294, 0.753731, 0.901659, 0.904035, 
0.887397, 0.847186, 5.434161, 6.160583, 8.277666, 8.341541, 
6.704969, 5.949237, 5.837793, 5.364536, 5.498011, 5.850292, 
5.748165, 6.858304, 6.623831, 6.279025, 60, 48.042208, 45.83215, 
78.988392, 152.646667, 186.789167, 237.145833, 282.179167, 
286.49, 257.886667, 224.306667, 202.745833, 199.5825, 210.39, 
183.625833, 172.113333, 207.944167, 225.104167, 223.695, 
232.601667, 281.523333, 274.433333, 149.583333, 296.291667, 
326, 362.833333, 415, 415, 415, 415, 415, 442.045417, 623.0555, 
626.994, 631.756667, 661.42075, 909.264833, 1025.944833, 
1110.58, 1282.56, 1643.848333, 1685.704167, 1770.059167, 
1842.813333, 1950.3175, 2029.920833, 2087.103867, 2160.753675, 
2248.607975, 2342.296292, 2909.38, 10013.6225, 7855.15, 8421.775, 
10260.85, 9311.191667, 8577.133333, 8938.85, 9704.741667, 
9159.316667, 9141, 9698.9625, 10389.9375, 9090.433333, 8770.433333, 
9386.629167, 10461.24, 11865.2113, 13389.41294, 13308.3268, 
13380.83388, 14236.93877, 4.7619, 4.7619, 4.7619, 4.7619, 
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35.433173, 36.313286, 41.259365, 43.055428, 44.941605, 47.186414, 
48.610319, 46.583284, 45.316467, 44.099975, 45.307008, 41.348533, 
43.505183, 48.405267, 45.725812, 46.670467, 53.437233, 58.597845, 
61.029514, 64.151944, 67.195313, 65.121569, 68.39784, 1.02173, 
0.943578, 0.854428, 0.767669, 0.788885, 0.859929, 0.793622, 
0.8917, 0.938627, 1.085401, 1.062552, 0.886034, 0.805365, 
0.80412, 0.719843, 0.719355, 0.753731, 0.901659, 0.887397, 
0.847186, 0.901342, 0.999517, 1.821717, 24.842767, 31.693742, 
43.013983, 64.691667, 66.5, 78.615947, 122.241811, 0.00035, 
0.056214, 2.279108, 2.459083, 3.011292, 3.44935, 3.800075, 
4
9.342342, 9.655958, 10.789019, 11.285967, 10.897892, 10.899242, 
10.928192, 11.129717, 13.513475, 12.636008, 12.423325, 13.169458, 
12.771992, 13.29245, 15.848267, 18.664058, 18.926517, 19.244342, 
37.881758, 65.903867, 68.037133, 64.349792, 54.322258, 49.409933, 
49.283683, 48.801767, 44.729817, 47.89025, 46.395342, 46.437131, 
55.537075, 55.731725, 54.665458, 1.724365, 1.456408, 1.199768, 
1.456037, 1.507186, 1.111773, 0.826307, 0.797957, 0.842808, 
0.825878, 0.728624, 0.885448, 0.900179, 0.938627, 1.062552, 
0.886034, 0.80412, 0.797141, 0.730638, 0.682675, 0.755045, 
0.778294, 0.753159, 0.904035, 0.847186, 6.259742, 6.214501, 
7.094129, 6.335157, 8.801842, 8.991654, 6.4425, 5.64, 5.604607, 
0.714288, 0.892857, 1.004889, 1.030312, 0.964425, 0.978502, 
1.02668, 1.152795, 1.496773, 1.763992, 2.023372, 1.913161, 
1.694561, 1.526401, 1.672148, 1.733514, 1.861792, 1.686522, 
1.523877, 1.454848, 1.512421, 1.868249, 1.889614, 2.201149, 
2.378751, 2.162191, 1.722099, 1.508681, 1.420273, 1.542056, 
1.360675, 1.387834, 1.265811, 1.234284, 1.219408, 1.433975, 
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2.962848, 3.256542, 3.160617, 3.154542, 3.7695, 3.942783, 
3.779333, 3.611717, 0.143404, 0.143404, 0.122281, 0.244029, 
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0.769364, 0.874455, 1.085401, 1.11751, 1.062552, 0.886034, 
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9.705083, 24.6199, 28.129167, 29.168525, 31.348483, 30.692025, 
28.813742, 28.284442, 27.190958, 25.580845, 24.852875, 30.367915, 
29.382341, 30.839831, 31.837144, 38.378207, 60.93765, 67.055933, 
58.342801, 62.668133, 4.5, 3.428171, 3.622136, 3.75, 3.75, 
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回答1:

Simply use ifelse to conditionally assign with %in%:

euro_countries <- c("AUT", "BEL", "CYP", "EST", "FIN",
                    "FRA", "DEU", "GRC", "IRL", "ITA",
                    "EU28", "LVA", "LTU", "LUX", "MLT",
                    "NLD", "PRT", "SVK", "SVN")

exchangerates$euro <- ifelse(exchangerates$country %in% euro_countries, 1, 0)

Alternatively without ifelse

exchangerates$euro <- as.integer(exchangerates$country %in% euro_countries)

来源：https://stackoverflow.com/questions/55926152/need-help-turning-matching-factors-to-a-vector-to-create-a-dummy-variable