Both of the approx functions work correctly individually, but they are
not being distinguished in the for loop by the if statments. Any help
would be appreciated. for loop of interest is below
x <- (structure(list(Site = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label =
c("Big_Muddy_Creek_Main_Stem",
"Field_Branch_Main_Stem", "Flat_Creek_Main_Stem", "Jennie_Creek_Main_Stem",
"Juniper_Creek_Main_Stem", "Little_Rockfish_Main_Stem_North",
"Wolf_Pit_Creek_Main_Stem"), class = "factor"), Base = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L), .Label = "ftbr", class = "factor"), Creek = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L), .Label = c("bmcm", "fbms", "fcms", "jcms", "jpms", "lrf1",
"wpms"), class = "factor"), Date = structure(c(2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label =
c("2009-09-05",
"2009-09-06", "2009-09-07", "2009-09-12", "2009-09-13", "2009-09-14"
), class = "factor"), elevation_m = c(77, 77, 77, 77, 77, 77,
77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77,
77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77,
77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77,
77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77,
77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77), x = c(655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L, 655608L, 655608L,
655608L, 655608L, 655608L, 655608L, 655608L), y = c(3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L, 3881598L,
3881598L, 3881598L, 3881598L, 3881598L, 3881598L), station = c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L), bankfull_measurement_interval_m = c(0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2), bankfull_depth_right = c(0.18, 0.18, 0.18, 0.18, 0.18,
0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18,
0.18, 0.18, 0.18, 0.18, 0.18, 0.02, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.21, 0.21, 0.21, 0.21, 0.21,
0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.18, 0.18,
0.18), bankfull_depth_left = c(0.08, 0.08, 0.08, 0.08, 0.08,
0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08,
0.08, 0.08, 0.08, 0.08, 0.08, 0.21, 0.06, 0.06, 0.06, 0.06, 0.06,
0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06,
0.06, 0.06, 0.06, 0.06, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04,
0.04, 0.04, 0.04, 0.04, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09,
0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09,
0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.08, 0.08,
0.08), bankfull_width_m = c(4.04, 4.04, 4.04, 4.04, 4.04, 4.04,
4.04, 4.04, 4.04, 4.04, 4.04, 4.04, 4.04, 4.04, 4.04, 4.04, 4.04,
4.04, 4.04, 4.04, 4.04, 3.9, 3.78, 3.78, 3.78, 3.78, 3.78, 3.78,
3.78, 3.78, 3.78, 3.78, 3.78, 3.78, 3.78, 3.78, 3.78, 3.78, 3.78,
3.78, 3.78, 3.78, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3.23, 3.23,
3.23, 3.23, 3.23, 3.23, 3.23, 3.23, 3.23, 3.23, 3.23, 3.23, 3.23,
3.23, 3.23, 2.1, 2.1, 2.1, 2.1, 2.1, 2.1, 2.1, 2.1, 2.1, 2.1,
2.1, 2.1, 4.04, 4.04, 4.04), wetted_width_m = c(2.24, 2.24, 2.24,
2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24,
2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.1, 2.35, 2.35, 2.35,
2.35, 2.35, 2.35, 2.35, 2.35, 2.35, 2.35, 2.35, 2.35, 2.35, 2.35,
2.35, 2.35, 2.35, 2.35, 2.35, 2.35, 1.2, 1.2, 1.2, 1.2, 1.2,
1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 2.3, 2.3, 2.3, 2.3, 2.3, 2.3, 2.3,
2.3, 2.3, 2.3, 2.3, 2.3, 2.3, 2.3, 2.3, 1.6, 1.6, 1.6, 1.6, 1.6,
1.6, 1.6, 1.6, 1.6, 1.6, 1.6, 1.6, 2.24, 2.24, 2.24),
bankfull_correction_m = c(0.18,
0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18,
0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.21, 0.06,
0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06,
0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.21, 0.21, 0.21,
0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.09, 0.09, 0.09,
0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09,
0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09, 0.09,
0.09, 0.09, 0.18, 0.18, 0.18), measurment_num = c(1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,
18L, 19L, 20L, 21L, 1L, 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L,
12L, 11L, 10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 11L, 10L,
9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 15L, 14L, 13L, 12L, 11L,
10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L, 12L, 11L, 10L, 9L, 8L,
7L, 6L, 5L, 4L, 3L, 2L, 1L, 21L, 20L, 19L), bankfull_depths_m = c(0,
0.02, 0.1, 0.52, 0.56, 0.61, 0.63, 0.67, 0.68, 0.72, 0.74, 0.73,
0.74, 0.7, 0.7, 0.63, 0.22, 0.13, 0.09, 0.02, -0.1, -0.19, 0,
-0.01, 0.08, 0.24, 0.97, 1, 1.04, 1.11, 1.12, 1.14, 1.14, 1.14,
1.09, 1.11, 1.08, 1.04, 0.44, 0.28, 0.07, -0.06, -0.17, -0.13,
-0.04, 0.76, 0.78, 0.79, 0.83, 0.83, 0.81, 0.09, 0, 0, 0.03,
0.21, 0.77, 0.85, 0.87, 0.92, 0.93, 0.91, 0.91, 0.88, 0.89, 0.85,
0.06, -0.09, 0, 0.01, 0.7, 0.74, 0.71, 0.72, 0.72, 0.73, 0.68,
0.6, 0.03, -0.09, -0.1, 0.02, 0.09), water_surface_m = c(NA,
NA, NA, NA, 0.05, 0.13, 0.13, 0.18, 0.2, 0.22, 0.22, 0.22, 0.22,
0.16, 0.14, 0.05, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.02,
0.08, 0.12, 0.18, 0.2, 0.22, 0.21, 0.21, 0.16, 0.15, 0.14, 0.09,
NA, NA, NA, NA, NA, NA, NA, 0.23, 0.24, 0.24, 0.29, 0.29, 0.27,
NA, NA, NA, NA, NA, 0.08, 0.18, 0.19, 0.23, 0.24, 0.22, 0.23,
0.21, 0.2, 0.17, NA, NA, NA, NA, 0.3, 0.33, 0.32, 0.35, 0.34,
0.34, 0.3, 0.2, NA, NA, NA, NA, NA), X = structure(c(1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), .Label = c("", "changed from 1.2 to 1.02", "changed from 1.4 to 1.04",
"changed from 1.6 to 1.06", "marked as no bankfull correction-I don't
know if this is correct"
), class = "factor"), measurment_num_m = c(0, 0.2, 0.4, 0.6,
0.8, 1, 1.2, 1.4, 1.6, 1.8, 2, 2.2, 2.4, 2.6, 2.8, 3, 3.2, 3.4,
3.6, 3.8, 4, 0, 3.8, 3.6, 3.4, 3.2, 3, 2.8, 2.6, 2.4, 2.2, 2,
1.8, 1.6, 1.4, 1.2, 1, 0.8, 0.6, 0.4, 0.2, 0, 2, 1.8, 1.6, 1.4,
1.2, 1, 0.8, 0.6, 0.4, 0.2, 0, 2.8, 2.6, 2.4, 2.2, 2, 1.8, 1.6,
1.4, 1.2, 1, 0.8, 0.6, 0.4, 0.2, 0, 2.2, 2, 1.8, 1.6, 1.4, 1.2,
1, 0.8, 0.6, 0.4, 0.2, 0, 4, 3.8, 3.6)), .Names = c("Site", "Base",
"Creek", "Date", "elevation_m", "x", "y", "station",
"bankfull_measurement_interval_m",
"bankfull_depth_right", "bankfull_depth_left", "bankfull_width_m",
"wetted_width_m", "bankfull_correction_m", "measurment_num",
"bankfull_depths_m", "water_surface_m", "X", "measurment_num_m"
), row.names = c("463", "464", "465", "466", "467", "468", "469",
"470", "471", "472", "473", "474", "475", "476", "477", "478",
"479", "480", "481", "482", "483", "542", "541", "540", "539",
"538", "537", "536", "535", "534", "533", "532", "531", "530",
"529", "528", "527", "526", "525", "524", "523", "522", "521",
"520", "519", "518", "517", "516", "515", "514", "513", "512",
"511", "510", "509", "508", "507", "506", "505", "504", "503",
"502", "501", "500", "499", "498", "497", "496", "495", "494",
"493", "492", "491", "490", "489", "488", "487", "486", "485",
"484", "483.1", "482.1", "481.1"), class = "data.frame"))
g <- vector()
for(i in 1:2){
x <- subset(x, Creek=="fbms" & station==i)
if(x[1,"bankfull_correction_m"]>0){
y.x <- approxfun(x=x$bankfull_depths_m[7:length(x$bankfull_depths_m)],
y=x$measurment_num_m[7:length(x$bankfull_depths_m)])
g[i] <- y.x(0)
}else if(x[1,"bankfull_correction_m"]<0){
y.x <- approxfun(x=x$bankfull_depths_m[1:5], y=x$measurment_num_m[1:5])
g[i] <- y.x(0)
}
}
--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
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